{"id":"W4241017075","doi":"10.3917/riges.374.0072","title":"Recension pour les gestionnaires","year":2012,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009639573,0.0001119971,0.0001084888,0.00002236986,0.000671903,0.00004706345,0.000143408,0.0002710097,0.001405639],"category_scores_gemma":[0.0006024497,0.000112945,0.00006972915,0.0004539863,0.0004217635,0.0007247811,0.0000323354,0.0001755271,0.001088758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565721,"about_ca_system_score_gemma":0.0001106223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02796459,"about_ca_topic_score_gemma":0.002893371,"domain_scores_codex":[0.9983757,0.0003060419,0.000155994,0.000175275,0.0004426186,0.000544386],"domain_scores_gemma":[0.9993257,0.000134282,0.0001420253,0.00009837623,0.00008995565,0.0002096781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006639381,0.0001292308,0.1080998,0.00001769442,0.000005474824,0.000001111461,0.01077927,0.00003362809,0.0001492994,0.1729273,0.1491759,0.5586746],"study_design_scores_gemma":[0.00007193869,0.0000197419,0.487511,0.0001491877,0.00001848151,0.000002526709,0.002378725,0.00007290362,0.00004325009,0.002718333,0.5068767,0.0001371957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5556787,0.04328664,0.0007419387,0.3729983,0.01043466,0.000172249,0.000009481125,0.0001040573,0.01657398],"genre_scores_gemma":[0.9374279,0.006849868,0.0007266218,0.0002047551,0.003877967,0.000006184677,0.000002276579,0.000008531544,0.05089587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5585374,"threshold_uncertainty_score":0.999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05737272507270286,"score_gpt":0.3178340256592979,"score_spread":0.260461300586595,"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."}}