{"id":"W2922272742","doi":"10.3917/riges.441.0033","title":"On a lu pour vous – L’intelligence au travail, de Morten T. Hansen","year":2019,"lang":"fr","type":"article","venue":"Gestion","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002855714,0.0007247675,0.0004676866,0.001052292,0.00773358,0.009218642,0.0007415702,0.003337055,0.01282439],"category_scores_gemma":[0.007775991,0.000404467,0.0003011017,0.000985996,0.007466273,0.007662023,0.002412217,0.005814952,0.003563496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004836277,"about_ca_system_score_gemma":0.005142814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04577295,"about_ca_topic_score_gemma":0.04899067,"domain_scores_codex":[0.9971706,0.001448097,0.00007577295,0.0005069104,0.000577165,0.0002215968],"domain_scores_gemma":[0.9961889,0.002133159,0.0003187147,0.0001700483,0.0007392826,0.0004499281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009869628,0.00005100713,0.002212303,0.0002210745,0.00002212151,0.0004428372,0.03885028,0.0002287841,0.000498987,0.3266663,0.5788869,0.05182073],"study_design_scores_gemma":[0.00000504531,0.00001766896,0.000978893,0.0003144683,0.000004968425,0.000187261,0.01172732,0.00009716453,0.0003047688,0.01845245,0.9678805,0.00002942265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0129306,0.08450291,0.003551709,0.7412196,0.01018424,0.00003386799,0.0002678806,0.0001266673,0.1471824],"genre_scores_gemma":[0.3117462,0.06948851,0.005547742,0.1055199,0.005377158,0.00008734667,0.0002263234,0.0004567151,0.5015501],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04577295,"threshold_uncertainty_score":0.09101301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197274579861578,"score_gpt":0.2640650222763382,"score_spread":0.2320922764777224,"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."}}