{"id":"W2730705005","doi":"10.3917/corp1.012.0123","title":"Général de corps d’armée","year":2015,"lang":"fr","type":"article","venue":"Corps","topic":"European Political History Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001732402,0.0008798493,0.0007034272,0.005483574,0.00277586,0.005105498,0.0008966787,0.002641683,0.1320096],"category_scores_gemma":[0.004716014,0.0004577032,0.000578284,0.006164749,0.0009823121,0.00226753,0.00180099,0.002648626,0.01417298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005724338,"about_ca_system_score_gemma":0.004882113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1390313,"about_ca_topic_score_gemma":0.1038969,"domain_scores_codex":[0.9981974,0.0003732996,0.0001081589,0.0003909138,0.0006039834,0.0003262131],"domain_scores_gemma":[0.998428,0.0006993834,0.0002107967,0.0001912065,0.0003628926,0.0001077672],"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":[0.0001730585,0.00005352833,0.003849644,0.0005225223,0.00004923789,0.0002394591,0.0006690758,0.0006088969,0.0006405204,0.3162955,0.5888612,0.08803741],"study_design_scores_gemma":[0.000008767232,0.000005725538,0.007366026,0.0001323615,0.000004458501,0.00007627268,0.0001472055,0.0000683107,0.0001231852,0.002944927,0.9891152,0.000007553056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01384514,0.04721765,0.001871885,0.02148221,0.003495805,0.0001089648,0.01651768,0.000392829,0.8950678],"genre_scores_gemma":[0.108742,0.02344205,0.002399779,0.004385844,0.002068478,0.0003144788,0.009410679,0.0003805367,0.8488563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1390313,"threshold_uncertainty_score":0.4416162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191763711408308,"score_gpt":0.2490597380752763,"score_spread":0.1871421009611932,"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."}}