{"id":"W2336365135","doi":"","title":"Reorienter les medecins de famille vers les accouchements.","year":2015,"lang":"fr","type":"article","venue":"PubMed Central","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00212204,0.0004018164,0.0004378158,0.0001885698,0.000839184,0.00003565473,0.0003717205,0.0008445164,0.001872513],"category_scores_gemma":[0.001955743,0.0004328563,0.0001587756,0.0003413403,0.0002890641,0.0004569755,0.0001660413,0.001599085,0.0007529635],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007267726,"about_ca_system_score_gemma":0.001865449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008142096,"about_ca_topic_score_gemma":0.002041197,"domain_scores_codex":[0.9911779,0.001800431,0.0009716938,0.0005926712,0.0008222034,0.004635144],"domain_scores_gemma":[0.9952809,0.0004462269,0.0004260644,0.0005696612,0.0002858921,0.002991257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001416841,0.00009416622,0.7816362,0.0003197824,0.00006968183,0.00001723562,0.01052362,0.0000372922,0.000002602198,0.00283304,0.1497092,0.05461553],"study_design_scores_gemma":[0.001666886,0.00005672966,0.5902256,0.0001787861,0.00004697378,0.000005172114,0.01195376,0.00009314599,0.00008394543,0.0003635033,0.3950699,0.0002555318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120004,0.004650953,0.001163466,0.02203048,0.02848262,0.002290457,0.0006474683,0.0002408165,0.0284933],"genre_scores_gemma":[0.9734395,0.001145154,0.001575573,0.002485363,0.003054356,0.0008161417,0.0002207742,0.0001065654,0.01715664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2453607,"threshold_uncertainty_score":0.9998123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433435498045491,"score_gpt":0.3848195636316916,"score_spread":0.2414760138271425,"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."}}