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\// \ overview leveraging the unique interactionidentifier provided upon successfully declaring the audio docid\ pqlj1vqo7gtf0iqj1lbvn , chat docid\ id41ifx7uc0rzdlb7rbto or transcription docid 8omp8xufyry9gab1yivul interaction, the cx ai endpoint lets you instantly retrieve cx ai feature docid\ zatcqmnsvapzs9wwkgecn outputs when this \get\ request successfully executes, an http status will be returned to indicate the request was successful, along with a json response providing detailed cx ai output https //docs elevateai com/tutorials/get cx ai#s9opd sample api response (truncated) { "allparticipants" { "enlightenbundles" \[ { "name" "customer satisfaction", "models" \[ { "name" "acknowledgeloyalty", "score" 4 169592, "minscore" 3 1514606, "minscoreoffset" 75345, "maxscore" 2 7370446, "maxscoreoffset" 196550, "quartile1" 4 7154593, "quartile2" 0 39559406, "quartile3" 1 9443647, "quartile4" 6 545092 }, { "name" "activelistening", "score" 5 8615756, "minscore" 1 1147503, "minscoreoffset" 49390, "maxscore" 3 5741313, "maxscoreoffset" 197450, "quartile1" 1 8281904, "quartile2" 0 8814685, "quartile3" 1 9214101, "quartile4" 4 8868876 }, ] } ], "voiceactivitysegments" \[ { "starttimeoffset" 0, "endtimeoffset" 1000, "result" "voice" }, { "starttimeoffset" 1000, "endtimeoffset" 39000, "result" "silence" }, ] }, } if an error occurs when requesting to declare the interaction, a standard http status will be retuned to indicate the request was unsuccessful, along with a json response containing additional details to assist with troubleshooting https //docs elevateai com/#qofti \// \ request parameters & code examples { "tab" "examples", "url" "https //api elevateai com/v1/interactions/{interactionidentifier}/ai", "name" "retrieve a punctuated transcript", "method" "get", "request" { "pathparameters" \[ { "kind" "required", "name" "interactionidentifier", "type" "string", "description" "interactionidentifier returned upon successfully declaring the interaction" } ], "queryparameters" \[], "headerparameters" \[ { "kind" "required", "name" "x api token", "type" "string", "description" "valid api key associated with your account for authentication and usage tracking" }, { "kind" "optional", "name" "accept encoding", "type" "string", "description" "recommended for bandwidth optimization, will be 'gzip, deflate, br'" } ], "bodydataparameters" \[], "formdataparameters" \[] }, "results" { "languages" \[ { "id" "wov v6skqlwseavef84vd", "code" "{\n \\"allparticipants\\" {\n \\"enlightenbundles\\" \[\n {\n \\"name\\" \\"string\\",\n \\"models\\" \[\n {\n \\"name\\" \\"string\\",\n \\"score\\" \\"number\\",\n \\"minscore\\" \\"number\\",\n \\"minscoreoffset\\" \\"number\\",\n \\"maxscore\\" \\"number\\",\n \\"maxscoreoffset\\" \\"number\\",\n \\"quartile1\\" \\"number\\",\n \\"quartile2\\" \\"number\\",\n \\"quartile3\\" \\"number\\",\n \\"quartile4\\" \\"number\\"\n }\n ]\n }\n ],\n \\"voiceactivitysegments\\" \[\n {\n \\"starttimeoffset\\" \\"number\\",\n \\"endtimeoffset\\" \\"number\\",\n \\"result\\" \\"string\\"\n }\n ]\n },\n \\"participantone\\" {\n \\"enlightenbundles\\" \[\n {\n \\"name\\" \\"string\\",\n \\"models\\" \[\n {\n \\"name\\" \\"string\\",\n \\"score\\" \\"number\\",\n \\"minscore\\" \\"number\\",\n \\"minscoreoffset\\" \\"number\\",\n \\"maxscore\\" \\"number\\",\n \\"maxscoreoffset\\" \\"number\\",\n \\"quartile1\\" \\"number\\",\n \\"quartile2\\" \\"number\\",\n \\"quartile3\\" \\"number\\",\n \\"quartile4\\" \\"number\\"\n }\n ]\n }\n ],\n \\"voiceactivitysegments\\" \[\n {\n \\"starttimeoffset\\" \\"number\\",\n \\"endtimeoffset\\" \\"number\\",\n \\"result\\" \\"string\\"\n }\n ]\n },\n \\"participanttwo\\" {\n \\"enlightenbundles\\" \[\n {\n \\"name\\" \\"string\\",\n \\"models\\" \[\n {\n \\"name\\" \\"string\\",\n \\"score\\" \\"number\\",\n \\"minscore\\" \\"number\\",\n \\"minscoreoffset\\" \\"number\\",\n \\"maxscore\\" \\"number\\",\n \\"maxscoreoffset\\" \\"number\\",\n \\"quartile1\\" \\"number\\",\n \\"quartile2\\" \\"number\\",\n \\"quartile3\\" \\"number\\",\n \\"quartile4\\" \\"number\\"\n }\n ]\n }\n ],\n \\"voiceactivitysegments\\" \[\n {\n \\"starttimeoffset\\" \\"number\\",\n \\"endtimeoffset\\" \\"number\\",\n \\"result\\" \\"string\\"\n }\n ]\n } \n}", "language" "200", "customlabel" "" }, { "id" "ypthsxrc k8r4z ys8dyf", "code" "{\n \\"errormessage\\" \\"string\\"\n}", "language" "401", "customlabel" "" }, { "id" "cnnwssw8rcabnp3vrvm75", "code" "{\r\n \\"errormessage\\" \\"string\\"\r\n}", "language" "404", "customlabel" "" } ], "selectedlanguageid" "wov v6skqlwseavef84vd" }, "examples" { "languages" \[ { "id" "mvypojsomedfbiykydzmk", "code" "curl location g request get 'https //api elevateai com/v1/interactions/{interctionidentifier}/ai' \\\\\n header 'x api token {your api token}' \\\\\n header 'content type application/json' \\\\\n header 'accept encoding gzip, deflate, br'", "language" "curl", "customlabel" "" }, { "id" "yv chbnqxb5bvb1s8bran", "code" "var request = require('request');\nvar options = {\n 'method' 'get',\n 'url' 'https //api elevateai com/v1/interactions/{interctionidentifier}/ai',\n 'headers' {\n 'x api token' '{your api token}',\n 'content type' 'application/json',\n 'accept encoding' 'gzip, deflate, br'\n }\n};\nrequest(options, function (error, response) {\n if (error) throw new error(error);\n console log(response body);\n});\n", "language" "nodejs", "customlabel" "" }, { "id" "xogqasie93pggzimhomxf", "code" "var myheaders = new headers();\nmyheaders append(\\"x api token\\", \\"{your api token}\\");\nmyheaders append(\\"content type\\", \\"application/json\\");\nmyheaders append(\\"accept encoding\\", \\"gzip, deflate, br\\");\n\nvar requestoptions = {\n method 'get',\n headers myheaders,\n redirect 'follow'\n};\n\nfetch(\\"https //api elevateai com/v1/interactions/{interctionidentifier}/ai\\", requestoptions)\n then(response => response text())\n then(result => console log(result))\n catch(error => console log('error', error));", "language" "javascript", "customlabel" "" }, { "id" "slhowhviy8rm3cgzizyop", "code" "import http client\nimport json\n\nconn = http client httpsconnection(\\"api elevateai com\\")\npayload = ''\nheaders = {\n 'x api token' '{your api token}',\n 'content type' 'application/json',\n 'accept encoding' 'gzip, deflate, br'\n}\nconn request(\\"get\\", \\"/v1/interactions/{interctionidentifier}/ai\\", payload, headers)\nres = conn getresponse()\ndata = res read()\nprint(data decode(\\"utf 8\\"))", "language" "python", "customlabel" "" }, { "id" "mwbl7qxk3ml nottihixq", "code" "require \\"uri\\"\nrequire \\"json\\"\nrequire \\"net/http\"\n\nurl = uri(\\"https //api elevateai com/v1/interactions/{interctionidentifier}/ai\\")\n\nhttps = net http new(url host, url port)\nhttps use ssl = true\n\nrequest = net http get new(url)\nrequest\[\\"x api token\\"] = \\"{your api token}\\"\nrequest\[\\"content type\\"] = \\"application/json\\"\nrequest\[\\"accept encoding\\"] = \\"gzip, deflate, br\\"\n\nresponse = https request(request)\nputs response read body\n", "language" "ruby", "customlabel" "" }, { "id" "ct211nnsbjpxfi bppuel", "code" "var client = new restclient(\\"https //api elevateai com/v1/interactions/{interctionidentifier}/ai\\");\r\nclient timeout = 1;\r\nvar request = new restrequest(method get);\r\nrequest addheader(\\"x api token\\", \\"{your api token}\\");\r\nrequest addheader(\\"content type\\", \\"application/json\\");\r\nrequest addheader(\\"accept encoding\\", \\"gzip, deflate, br\\");\r\nirestresponse response = client execute(request);\r\nconsole writeline(response content);", "language" "csharp", "customlabel" "" }, { "id" "rzv6ygdtkhptdopbyisvu", "code" "\<?php\r\n\r\n$curl = curl init();\r\n\r\ncurl setopt array($curl, array(\r\n curlopt url => 'https //api elevateai com/v1/interactions/%7binterctionidentifier%7d/ai',\r\n curlopt returntransfer => true,\r\n curlopt encoding => '',\r\n curlopt maxredirs => 10,\r\n curlopt timeout => 0,\r\n curlopt followlocation => true,\r\n curlopt http version => curl http version 1 1,\r\n curlopt customrequest => 'get',\r\n curlopt httpheader => array(\r\n 'x api token {your api token}',\r\n 'content type application/json',\r\n 'accept encoding gzip, deflate, br'\r\n ),\r\n));\r\n\r\n$response = curl exec($curl);\r\n\r\ncurl close($curl);\r\necho $response;\r\n", "language" "php", "customlabel" "" } ], "selectedlanguageid" "mwbl7qxk3ml nottihixq" }, "description" "get ai results by id", "currentnewparameter" { "label" "header parameter", "value" "headerparameters" }, "autogeneratedanchorslug" "retrieve a punctuated transcript", "legacyhash" "lteawztq4oznfowi3ncgc" } \// \ response schema schema element type description {participant} object top level for speaker label https //docs elevateai com/transcription features#fdlgr , identifying whether output was determined based on speech across allparticipants or participantone and/or participanttwo {participant}/ enlightenbundles array of objects top level for each eligible ai behavioral model {participant}/enlightenbundles/ name string name of enlighten bundle associated with model, will be customer satisfaction or vulnerable customer {participant}enlightenbundles/ models array of objects ordered list of analysis outputs associated with each available model from bundle {participant}/enlightenbundles/models/ name string name of model {participant}/enlightenbundles/models/ score float overall score {participant}/enlightenbundles/models/ minscore float lowest score calculated throughout interaction {participant}/enlightenbundles/models/ minscoreoffset number time of lowest score calculated throughout interaction {participant}/enlightenbundles/models/ maxscore float highest score calculated throughout interaction {participant}/enlightenbundles/models/ maxscoreoffset number time of highest score calculated throughout interaction {participant}/enlightenbundles/models/ quartile1 float score calculated across first quartile of interaction {participant}/enlightenbundles/models/ quartile2 float score calculated across second quartile of interaction {participant}/enlightenbundles/models/ quartile3 float score calculated across third quartile of interaction {participant}/enlightenbundles/models/ quartile4 float score calculated across fourth quartile of interaction {participant}/ voiceactivitysegments array of objects or null top level for each voice or silence segment {participant}/voiceactivitysegments/ starttimeoffset number start time of segment {participant}/voiceactivitysegments/ endtimeoffset number end time of segment {participant}/voiceactivitysegments/ result string type of segment, will be voice or silence \// \ model scores below are json structures containing the models, score ranges, and their descriptions note the lower bounds are exclusive and upper bounds are inclusive csat model scores \[ { "modelname" "acknowledgeloyalty", "ranges" \[ { "lowerbound" null, "upperbound" 6 158, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 158, "upperbound" 2 63, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 63, "upperbound" 1 201, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 201, "upperbound" 7 954, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 954, "upperbound" 90 437, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "activelistening", "ranges" \[ { "lowerbound" null, "upperbound" 0 161, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 161, "upperbound" 4 168, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 4 168, "upperbound" 8 332, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 8 332, "upperbound" 14 129, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 14 129, "upperbound" 44 239, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "beempathetic", "ranges" \[ { "lowerbound" null, "upperbound" 1 819, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 819, "upperbound" 2 76, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 76, "upperbound" 7 965, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 965, "upperbound" 15 868, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 15 868, "upperbound" 92 837, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "buildrapport", "ranges" \[ { "lowerbound" null, "upperbound" 3 726, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 3 726, "upperbound" 1 102, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 102, "upperbound" 1 893, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 893, "upperbound" 8 13, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 8 13, "upperbound" 76 775, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "churn", "ranges" \[ { "lowerbound" null, "upperbound" 1 391, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 391, "upperbound" 0 338, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 338, "upperbound" 0 338, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 338, "upperbound" 1 208, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 1 208, "upperbound" 7 478, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "complaint", "ranges" \[ { "lowerbound" null, "upperbound" 6 531, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 531, "upperbound" 2 926, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 926, "upperbound" 0 29, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 29, "upperbound" 2 879, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 2 879, "upperbound" 21 566, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateownership", "ranges" \[ { "lowerbound" null, "upperbound" 0 152, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 152, "upperbound" 3 976, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 3 976, "upperbound" 7 671, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 671, "upperbound" 12 841, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 12 841, "upperbound" 39 623, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "effectivequestioning", "ranges" \[ { "lowerbound" null, "upperbound" 0 781, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 781, "upperbound" 3 423, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 3 423, "upperbound" 7 412, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 412, "upperbound" 13 041, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 13 041, "upperbound" 45 808, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "financialdistress", "ranges" \[ { "lowerbound" null, "upperbound" 2 773, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 773, "upperbound" 1 098, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 098, "upperbound" 0 252, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 252, "upperbound" 0 551, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 551, "upperbound" 6 343, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "inappropriateaction", "ranges" \[ { "lowerbound" null, "upperbound" 1 78, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 78, "upperbound" 2 584, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 584, "upperbound" 6 414, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 6 414, "upperbound" 11 22, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 22, "upperbound" 37 563, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "promoteselfservice", "ranges" \[ { "lowerbound" null, "upperbound" 5 401, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 5 401, "upperbound" 1 86, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 86, "upperbound" 1 757, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 757, "upperbound" 9 594, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 9 594, "upperbound" 139 409, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "setexpectations", "ranges" \[ { "lowerbound" null, "upperbound" 3 394, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 3 394, "upperbound" 0 137, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 137, "upperbound" 3 358, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 3 358, "upperbound" 7 618, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 618, "upperbound" 24 802, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "promoteselfservice", "ranges" \[ { "lowerbound" null, "upperbound" 5 401, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 5 401, "upperbound" 1 86, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 86, "upperbound" 1 757, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 757, "upperbound" 9 594, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 9 594, "upperbound" 139 409, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "updated", "ranges" \[ { "lowerbound" null, "upperbound" 0 31, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 31, "upperbound" 2 489, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 489, "upperbound" 5 538, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 5 538, "upperbound" 8 988, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 8 988, "upperbound" 25 962, "indexscore" 10, "scoredescription" "strongly positive" } ] } ] sales effectiveness model scores \[ { "modelname" "escalation", "ranges" \[ { "lowerbound" null, "upperbound" 0 034, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 034, "upperbound" 0 009, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 009, "upperbound" 0 148, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 148, "upperbound" 0 511, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 511, "upperbound" 31 828, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "resolution", "ranges" \[ { "lowerbound" null, "upperbound" 1 612, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 612, "upperbound" 0 08, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 08, "upperbound" 1 454, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 454, "upperbound" 6 443, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 6 443, "upperbound" 25 094, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "sentiment", "ranges" \[ { "lowerbound" null, "upperbound" 0 191, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 191, "upperbound" 0 14, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 14, "upperbound" 2 284, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 2 284, "upperbound" 5 471, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 5 471, "upperbound" 14 715, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "acknowledgerequest", "ranges" \[ { "lowerbound" null, "upperbound" 20 964, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 20 964, "upperbound" 9 675, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 9 675, "upperbound" 0 95, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 95, "upperbound" 0 218, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 218, "upperbound" 13 948, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "askforthesale", "ranges" \[ { "lowerbound" null, "upperbound" 1 509, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 509, "upperbound" 0, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0, "upperbound" 0 968, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 968, "upperbound" 6 204, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 6 204, "upperbound" 38 935, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "confirmedsale", "ranges" \[ { "lowerbound" null, "upperbound" 6 792, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 792, "upperbound" 1 514, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 514, "upperbound" 0 071, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 071, "upperbound" 7 945, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 945, "upperbound" 50 349, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateempathy", "ranges" \[ { "lowerbound" null, "upperbound" 0 164, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 164, "upperbound" 0 744, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 744, "upperbound" 4 476, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 4 476, "upperbound" 11 334, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 334, "upperbound" 41 605, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateownership", "ranges" \[ { "lowerbound" null, "upperbound" 0 15, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 15, "upperbound" 0 783, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 783, "upperbound" 4 305, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 4 305, "upperbound" 11 842, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 842, "upperbound" 39 685, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "likelihoodtobuy", "ranges" \[ { "lowerbound" null, "upperbound" 2 495, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 495, "upperbound" 0 09, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 09, "upperbound" 1 083, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 083, "upperbound" 5 105, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 5 105, "upperbound" 30 162, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "makeaconnection", "ranges" \[ { "lowerbound" null, "upperbound" 2 094, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 094, "upperbound" 0 032, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 032, "upperbound" 3 395, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 3 395, "upperbound" 13 156, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 13 156, "upperbound" 67 959, "indexscore" 10, "scoredescription" "strongly positive" 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