{"id":"W4295752126","doi":"10.46747/cfp.6809e256","title":"Approche de la stratification du risque de maladies cardiovasculaires athéroscléreuses","year":2022,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk stratification; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.03356903,0.001394109,0.003403593,0.00639755,0.000829579,0.004756624,0.002171256,0.002807422,0.02269629],"category_scores_gemma":[0.1158654,0.0008763449,0.005336499,0.005095763,0.0007596301,0.002867674,0.001560989,0.003109097,0.006663441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960481,"about_ca_system_score_gemma":0.00518265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007720652,"about_ca_topic_score_gemma":0.009521613,"domain_scores_codex":[0.9751534,0.015447,0.003160624,0.001793738,0.00406397,0.00038122],"domain_scores_gemma":[0.9356231,0.03807473,0.006146683,0.00280007,0.01637007,0.0009853223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007476761,0.0003929123,0.08226728,0.03281164,0.008042903,0.0002909885,0.001449966,0.001625516,0.001483988,0.006036557,0.0926526,0.7654689],"study_design_scores_gemma":[0.00778239,0.005312099,0.2054978,0.08175511,0.03550945,0.002430866,0.002407591,0.009626856,0.006612681,0.04191761,0.6003096,0.0008378467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05805365,0.5477809,0.1037925,0.1080878,0.01455271,0.009735771,0.05227933,0.002222908,0.1034945],"genre_scores_gemma":[0.4466509,0.2212175,0.207974,0.0355919,0.0154024,0.01277508,0.03295243,0.0006318692,0.02680393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03356903,"threshold_uncertainty_score":0.1775321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192322543149256,"score_gpt":0.2279325898930178,"score_spread":0.2160093644615252,"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."}}