{"id":"W2120565210","doi":"10.1093/eurheartj/eht310.p5810","title":"Physical activity levels, sport activities and risk of acute myocardial infarction: results of the INTERHEART study in China","year":2013,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Physical Activity and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; Myocardial infarction; Metabolic equivalent; Logistic regression; Demography; Physical therapy; Physical activity; Internal medicine; Leisure time; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001847704,0.0004792009,0.0004982848,0.001197297,0.0004751289,0.0006028661,0.0004912946,0.0005594917,0.0008523782],"category_scores_gemma":[0.001547392,0.0004066282,0.0007525743,0.001884343,0.0002984017,0.000417134,0.0005083522,0.0004563422,0.0001879828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586873,"about_ca_system_score_gemma":0.0006718333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02707177,"about_ca_topic_score_gemma":0.02602385,"domain_scores_codex":[0.9993306,0.0001857182,0.00009036623,0.0001430296,0.0001461583,0.000104036],"domain_scores_gemma":[0.9987539,0.000120211,0.0003653763,0.0001292082,0.0002307265,0.0004005517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001041989,0.00002096157,0.9990695,0.000007834209,0.00009618205,0.00002760133,0.00005722146,0.00002431492,0.00007844972,0.000008439521,0.00007379874,0.0004315535],"study_design_scores_gemma":[0.000007044513,0.00001463901,0.999811,0.000001696127,0.00002465311,0.00001464227,0.00002980269,0.00004406618,0.000007930881,0.000004134093,0.00003921294,0.000001278949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977986,0.0004473277,0.00007569409,0.00008132648,0.000009960457,0.0000185536,0.001127448,0.000003348639,0.000437586],"genre_scores_gemma":[0.9984164,0.0001589954,0.00006318962,0.00003708263,0.00001532584,0.00002193907,0.00102834,0.000002395051,0.0002562504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02707177,"threshold_uncertainty_score":0.05382842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257147203732944,"score_gpt":0.3241804885757557,"score_spread":0.2816090165384262,"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."}}