{"id":"W4389574675","doi":"10.7326/m23-1345","title":"Development and Validation of the CANHEART Population-Based Laboratory Prediction Models for Atherosclerotic Cardiovascular Disease","year":2023,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Libin Cardiovascular Institute of Alberta; Ted Rogers Centre for Heart Research; University of Calgary; Health Sciences Centre; University Health Network; University of Toronto; North York General Hospital; McGill University Health Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cohort; Population; Myocardial infarction; Internal medicine; Framingham Risk Score; Mean corpuscular volume; Cohort study; Disease; Hematocrit","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01607694,0.001234721,0.0007000854,0.001310648,0.0004262327,0.001084188,0.001329604,0.000587906,0.001204004],"category_scores_gemma":[0.02813071,0.0003992584,0.001244683,0.001063759,0.0003313178,0.0004135405,0.001085887,0.0009490859,0.0004664248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002654641,"about_ca_system_score_gemma":0.006341349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1400119,"about_ca_topic_score_gemma":0.1448308,"domain_scores_codex":[0.9964706,0.001576341,0.0001765436,0.0005120822,0.001046098,0.0002184433],"domain_scores_gemma":[0.9871639,0.004230541,0.00127527,0.001573903,0.005401819,0.0003545046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005529646,0.0002113816,0.8977178,0.00009594718,0.001125308,0.00006931469,0.0001648669,0.04557725,0.0004498019,0.0008022809,0.007290149,0.04594281],"study_design_scores_gemma":[0.0004880888,0.000422442,0.605561,0.0001718754,0.001012318,0.000220027,0.0001639039,0.3829595,0.001228177,0.001734173,0.005971145,0.00006742184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872624,0.001144246,0.08972173,0.001125964,0.0001814406,0.0009410202,0.01277904,0.0008202955,0.006023925],"genre_scores_gemma":[0.9507834,0.0003065404,0.03831529,0.0002075343,0.00005457239,0.0004533704,0.008829959,0.0000590304,0.0009903784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400119,"threshold_uncertainty_score":0.2783939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09711607861302009,"score_gpt":0.3479339940455531,"score_spread":0.2508179154325331,"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."}}