{"id":"W2762044421","doi":"10.7202/1023057ar","title":"Evaluating Technical and Human Factors in Management","year":2014,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Order (exchange); Element (criminal law); Product (mathematics); Object (grammar); Computer science; Risk analysis (engineering); Process management; Business; Systems engineering; Knowledge management; Operations management; Engineering; Mathematics; Economics; Political science; Artificial intelligence; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000947845,0.0001253153,0.0001432421,0.0003880088,0.000266116,0.0001509378,0.0001302627,0.0001215524,0.0001210194],"category_scores_gemma":[0.0001306459,0.0001205881,0.00002896414,0.0004778953,0.000049686,0.000452145,0.000173608,0.0001999779,0.00009967334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113387,"about_ca_system_score_gemma":0.000003556421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000377863,"about_ca_topic_score_gemma":0.0001178649,"domain_scores_codex":[0.9989891,0.00003257173,0.000331954,0.0002488493,0.0002106842,0.0001868195],"domain_scores_gemma":[0.9995497,0.00007788776,0.0001305217,0.0002068959,0.0000247057,0.00001022568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003217304,0.00006552404,0.1831294,0.00004628746,0.00001718116,0.000001659406,0.00005649724,0.0005500059,0.00006656024,0.807022,0.003051279,0.005990337],"study_design_scores_gemma":[0.002351725,0.00003616366,0.6287398,0.0004016157,0.0001522712,0.000001224681,0.0032467,0.00808015,0.0000207285,0.02945958,0.3268265,0.0006834844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484831,0.00001719741,0.0008737603,0.000803554,0.000106691,0.0003947788,4.632456e-7,0.0001329918,0.1491875],"genre_scores_gemma":[0.9972949,0.000002177266,0.0001809143,0.0001276066,0.0001679127,0.00002763767,0.00002592428,0.00001340456,0.002159525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7775624,"threshold_uncertainty_score":0.4917439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07996632997501217,"score_gpt":0.316037631868096,"score_spread":0.2360713018930838,"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."}}