{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005318854,0.0002463836,0.0004136685,0.003431342,0.003261087,0.003903455,0.001268445,0.0009549586,0.004380042],"category_scores_gemma":[0.02342291,0.0002753985,0.0002352473,0.008784327,0.002148066,0.001257878,0.002111306,0.001637536,0.0004642371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04253904,"about_ca_system_score_gemma":0.03932638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9214693,"about_ca_topic_score_gemma":0.9619588,"domain_scores_codex":[0.994992,0.002171761,0.0001907237,0.0003945291,0.001340903,0.0009101169],"domain_scores_gemma":[0.9745773,0.0124059,0.001395472,0.0007834219,0.007075103,0.003762897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007535649,0.00179286,0.506641,0.0008131418,0.0001547981,0.001492157,0.03635533,0.008887141,0.001923935,0.02566708,0.008081669,0.4074373],"study_design_scores_gemma":[0.00008691748,0.0005300984,0.8725969,0.0004615926,0.00004161622,0.000119992,0.05946386,0.0144149,0.001257807,0.007405459,0.04348573,0.0001351967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485508,0.002268247,0.002239125,0.007661836,0.00006081629,0.0002133795,0.0003275539,0.00005924013,0.03861898],"genre_scores_gemma":[0.9898272,0.001450335,0.001676556,0.0003570836,0.00001301631,0.00004707082,0.000161267,0.000008859911,0.006458682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9214693,"threshold_uncertainty_score":0.3086438,"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."}}