{"id":"W2885436053","doi":"10.24095/hpcdp.38.7/8.03f","title":"Efficacité de l’outil CANRISK pour détecter la dysglycémie au sein d’une population d’origine sud-asiatique au Canada","year":2018,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Ottawa Public Health; University of Ottawa; Public Health Agency of Canada; McMaster University","funders":"Ministère de la Santé","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.007470816,0.001223118,0.001078982,0.0009786553,0.0009732276,0.001709448,0.001284276,0.0006345695,0.003678103],"category_scores_gemma":[0.01519929,0.0004383355,0.002075073,0.001111657,0.0005227557,0.000634637,0.001137721,0.001026183,0.0004980592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007042402,"about_ca_system_score_gemma":0.01102246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7166714,"about_ca_topic_score_gemma":0.7399042,"domain_scores_codex":[0.9970344,0.001388676,0.0001410446,0.0004371974,0.0006755803,0.0003230237],"domain_scores_gemma":[0.992613,0.002946333,0.0009081002,0.0005102783,0.002411657,0.0006107261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002527492,0.0002506055,0.9624552,0.0002445904,0.001441852,0.00006163201,0.0005685639,0.002495584,0.0002639918,0.0003190046,0.003235064,0.02613645],"study_design_scores_gemma":[0.0004001139,0.001316485,0.9487529,0.0004651073,0.003164888,0.0001809077,0.001326209,0.03309591,0.00163075,0.0006789726,0.008878624,0.000109171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627905,0.003452356,0.009033273,0.002645763,0.0002140965,0.0007948446,0.009229197,0.0003928891,0.0114472],"genre_scores_gemma":[0.9823475,0.0007790318,0.007953957,0.0004018327,0.00003893525,0.0002640201,0.002851052,0.00004227945,0.005321447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833286,"threshold_uncertainty_score":0.5699943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009440174307146,"score_gpt":0.2823762906638269,"score_spread":0.2722818889207554,"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."}}