{"id":"W7104255435","doi":"10.71781/1278","title":"Association entre l’accessibilité géographique aux commerces d’alimentation et le diabète type II chez les adultes québécois : analyse de la banque de données de santé CARTaGENE","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mixed race; Statistical analysis; Electrocution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001882963,0.0003084113,0.0004786008,0.00359199,0.001511831,0.001758988,0.0007794641,0.0004667827,0.009160269],"category_scores_gemma":[0.009107339,0.0002151399,0.0004226507,0.008557529,0.0008337914,0.0004996253,0.0008923622,0.000366722,0.0005577384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009046839,"about_ca_system_score_gemma":0.01170611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9232746,"about_ca_topic_score_gemma":0.9590615,"domain_scores_codex":[0.9988563,0.0003248948,0.0001114917,0.0002585193,0.0003294853,0.0001193301],"domain_scores_gemma":[0.9920026,0.003972807,0.0008466572,0.000369871,0.002623996,0.0001840996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005430416,0.0001185639,0.8107322,0.004338754,0.0007878234,0.001199234,0.03704666,0.0009640163,0.005891287,0.002230607,0.02635518,0.1097927],"study_design_scores_gemma":[0.00002049202,0.00004538399,0.9507349,0.000651527,0.0002028973,0.000193429,0.008574016,0.0006241341,0.0005099354,0.0001636964,0.03824463,0.00003500898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176797,0.007129893,0.003702136,0.001714805,0.00008708506,0.0005228893,0.05592662,0.00006772819,0.01316919],"genre_scores_gemma":[0.9463165,0.003265296,0.008634232,0.0005125548,0.00003320448,0.001174766,0.02730235,0.00004094849,0.01272033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07672542,"threshold_uncertainty_score":0.1543545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007492868987619391,"score_gpt":0.2328307481339666,"score_spread":0.2253378791463472,"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."}}