{"id":"W4300153166","doi":"10.24095/hpcdp.32.1.04f","title":"Validation du modèle pronostique CANRISK pour l’évaluation du risque de diabète dans la population multi-ethnique du Canada","year":2011,"lang":"fr","type":"article","venue":"Maladies chroniques et blessures au Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; McMaster University; Public Health Agency of Canada","funders":"Ministère de la Santé","keywords":"Medicine; Gynecology; Humanities; 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":[0.02792026,0.001490755,0.001821061,0.001569475,0.001791258,0.002370086,0.002631037,0.0008893319,0.00337555],"category_scores_gemma":[0.04634859,0.0006366631,0.003246678,0.001868991,0.001032015,0.0007501288,0.001698943,0.001651981,0.0005400492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01525129,"about_ca_system_score_gemma":0.03676822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9304839,"about_ca_topic_score_gemma":0.8632005,"domain_scores_codex":[0.9919411,0.00555168,0.0003521629,0.000808985,0.0008371681,0.0005089056],"domain_scores_gemma":[0.969605,0.01854894,0.001058698,0.001124269,0.008882452,0.0007808123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004450647,0.0004225375,0.8500052,0.0006834735,0.004033585,0.0001673243,0.001078425,0.05369847,0.0005096175,0.002262702,0.009357736,0.07333034],"study_design_scores_gemma":[0.001180927,0.00115139,0.4705549,0.0009171919,0.003462082,0.00012878,0.002266202,0.5076317,0.001183667,0.002128009,0.009233825,0.0001612964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104455,0.003499354,0.06469149,0.003009863,0.0005456263,0.002580944,0.009680971,0.0007644381,0.004781889],"genre_scores_gemma":[0.9520172,0.0008043955,0.03568859,0.0003440473,0.00005730563,0.001520774,0.005068998,0.00008275465,0.004415856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06951612,"threshold_uncertainty_score":0.1476582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617045688317497,"score_gpt":0.232627852414348,"score_spread":0.206457395531173,"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."}}