{"id":"W1505242053","doi":"","title":"Albéric Marin, médecin et héros de guerre","year":2014,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Saint Hyacinthe","funders":"","keywords":"Political science; Humanities; Art","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":[0.001973452,0.0007250562,0.0005362183,0.001029321,0.004825598,0.002995402,0.0009456974,0.0031896,0.02047792],"category_scores_gemma":[0.003869275,0.0002940255,0.0002075895,0.0007433947,0.002406177,0.001469486,0.001080894,0.003367747,0.003913461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00545959,"about_ca_system_score_gemma":0.004852952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1034647,"about_ca_topic_score_gemma":0.1654036,"domain_scores_codex":[0.9989384,0.0004039539,0.00004348857,0.0001951624,0.0002458423,0.0001732806],"domain_scores_gemma":[0.998897,0.0004003448,0.00008887261,0.0000336223,0.0003066885,0.0002734883],"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":[0.0001825803,0.00008314972,0.002228233,0.0005494367,0.00002641801,0.001225768,0.006527009,0.0002325823,0.0005469093,0.1546462,0.748455,0.08529668],"study_design_scores_gemma":[0.00000937528,0.0000118328,0.001533781,0.0001342796,0.000004275407,0.0004147015,0.001006663,0.00003046248,0.0001457988,0.001509724,0.9951875,0.00001151189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01125758,0.4027704,0.001224746,0.4172029,0.04520961,0.00004430403,0.0004062284,0.0002105441,0.1216737],"genre_scores_gemma":[0.1887684,0.1555639,0.001996977,0.05958542,0.02578298,0.00007343654,0.0001841621,0.0002629583,0.5677817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1034647,"threshold_uncertainty_score":0.2057249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009948121203126213,"score_gpt":0.1824821994170128,"score_spread":0.1725340782138866,"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."}}