{"id":"W137871042","doi":"10.7202/029331ar","title":"Behavioural Science Application in Vancouver Based Firms","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Field (mathematics); Behavioural sciences; Value (mathematics); State (computer science); Data science; Computer science; Sociology; Management science; Engineering; Social science; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002549658,0.000114596,0.0001779633,0.0009780983,0.0003946687,0.0002414333,0.0007213869,0.0001314822,0.0005775316],"category_scores_gemma":[0.001784491,0.00009162031,0.00006459402,0.003663739,0.0001853086,0.0006650572,0.0001132062,0.0002792523,0.0006778094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083903,"about_ca_system_score_gemma":0.0003679694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645479,"about_ca_topic_score_gemma":0.001456547,"domain_scores_codex":[0.9968761,0.00007723658,0.0008076809,0.0005091516,0.001463779,0.0002660747],"domain_scores_gemma":[0.9976862,0.0009291007,0.0002426205,0.0007160549,0.0003155877,0.0001104012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001498152,0.0001634548,0.5634553,2.332218e-7,0.000001921568,0.000003450183,0.0005039733,0.07407251,0.0003197481,0.01777015,0.05355189,0.2901424],"study_design_scores_gemma":[0.0007784886,0.00002682232,0.277092,0.00003509918,0.000005882118,0.000004963197,0.001252208,0.4095478,0.0003555061,0.008693996,0.3019042,0.0003029502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720006,0.0002461834,0.09476128,0.001638493,0.0005454812,0.0005431149,0.00001332669,0.00008901586,0.03016256],"genre_scores_gemma":[0.9927226,3.268361e-7,0.003293751,0.00008704069,0.00008672565,0.00002584364,0.000001267891,0.000007205807,0.003775209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354753,"threshold_uncertainty_score":0.8712094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379137202046741,"score_gpt":0.3776562966404086,"score_spread":0.2397425764357345,"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."}}