{"id":"W2741383053","doi":"10.1016/j.amjcard.2017.07.043","title":"Effect of Body Mass Index on Clinical Events After Acute Coronary Syndromes","year":2017,"lang":"en","type":"review","venue":"The American Journal of Cardiology","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Medicine; Overweight; Internal medicine; Underweight; Hazard ratio; Body mass index; Confidence interval; Obesity paradox; Myocardial infarction; Acute coronary syndrome; Obesity; Gastroenterology; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003458899,0.0004098518,0.00808247,0.0002864688,0.00005455703,0.000006182424,0.0004788075,0.0002575164,0.0000236199],"category_scores_gemma":[0.0004120338,0.0001906714,0.007011216,0.0001289064,0.0009221185,0.00002857573,0.00009023026,0.001527206,0.0000445498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009976802,"about_ca_system_score_gemma":0.0003839784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003878748,"about_ca_topic_score_gemma":5.926066e-8,"domain_scores_codex":[0.9939734,0.003738246,0.001262547,0.0002583584,0.0004966881,0.0002707747],"domain_scores_gemma":[0.9946535,0.001241719,0.002644937,0.001106815,0.0001494593,0.0002035271],"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":[0.003213648,0.00001839465,0.04033141,0.0006381447,0.02000664,0.001621569,0.000004384251,0.000003430269,3.411177e-7,6.352017e-7,0.0006451799,0.9335162],"study_design_scores_gemma":[0.001383762,0.01512277,0.09978014,0.003991859,0.02117803,0.02876872,0.000009822104,3.262172e-7,5.593381e-7,0.000004467499,0.8295667,0.0001928769],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03949803,0.956442,0.0001324876,0.00007577603,0.002837086,0.0006294206,0.00003595064,0.00001082984,0.0003384362],"genre_scores_gemma":[0.1219385,0.8766342,0.000009914645,0.00006955235,0.001119725,0.00001324864,0.00000853875,0.00004793286,0.0001584027],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9333233,"threshold_uncertainty_score":0.7775354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04662504310425732,"score_gpt":0.409345297206481,"score_spread":0.3627202541022237,"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."}}