{"id":"W3205781708","doi":"10.2139/ssrn.3919658","title":"Does Industry Classification Matter in IT Business Value Research?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Value (mathematics); Business; Industrial organization; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04309492,0.0006046298,0.001372248,0.006580639,0.003632601,0.0104005,0.002886286,0.004088264,0.01736447],"category_scores_gemma":[0.1589225,0.000565636,0.001987253,0.01820048,0.004487198,0.01100607,0.002678324,0.003515902,0.003508236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213728,"about_ca_system_score_gemma":0.00428244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931081,"about_ca_topic_score_gemma":0.02996806,"domain_scores_codex":[0.9705922,0.01656291,0.002711903,0.002737422,0.005073135,0.002322502],"domain_scores_gemma":[0.7116802,0.1885666,0.05021524,0.01764006,0.02264624,0.009251715],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006176641,0.0003231126,0.9137487,0.0003972131,0.0009787459,0.0001798472,0.001076863,0.0003216714,0.0001958918,0.01374357,0.01403643,0.05438038],"study_design_scores_gemma":[0.0003124108,0.0006303922,0.87474,0.001855416,0.001672958,0.0006398735,0.01032065,0.002905823,0.0009477691,0.06378414,0.04207285,0.0001178159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799646,0.03328148,0.008818244,0.09818594,0.00459601,0.000197209,0.003638407,0.0001570183,0.07116101],"genre_scores_gemma":[0.9832824,0.002537348,0.002127321,0.005848595,0.001747914,0.00007113753,0.0009568515,0.0001090295,0.003319434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9569051,"threshold_uncertainty_score":0.2279105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08929283472610201,"score_gpt":0.3435181929211141,"score_spread":0.2542253581950121,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}