{"id":"W2027505318","doi":"10.1002/clc.4960281006","title":"Prognostic impact of demographic factors and clinical features on the mode of death in high-risk patients after myocardial infarction - A combined analysis from multicenter trials","year":2005,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"British Heart Foundation","keywords":"Medicine; Internal medicine; Myocardial infarction; Ejection fraction; Cardiology; Proportional hazards model; Angina; Atrial fibrillation; Heart failure; Hazard ratio; Killip class; Confidence interval","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003299466,0.0002604658,0.002794041,0.0004806367,0.0000382367,0.000009583379,0.0001532603,0.0006018574,0.00005913647],"category_scores_gemma":[0.01618535,0.0001445983,0.002534416,0.0005524529,0.0006754872,0.00005203339,0.0001298662,0.001087561,0.000005072353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724173,"about_ca_system_score_gemma":0.0001007327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964035,"about_ca_topic_score_gemma":0.0000973654,"domain_scores_codex":[0.9916273,0.004985162,0.002120579,0.0005465696,0.0003955648,0.0003248493],"domain_scores_gemma":[0.9843302,0.01386434,0.0006284611,0.0006219372,0.0003269627,0.0002281385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008371628,0.0004597479,0.977931,0.000005161569,0.01039818,0.000004710987,0.00005474253,0.0003256625,0.000008033816,0.000009146048,0.0004403633,0.001991599],"study_design_scores_gemma":[0.006250684,0.003084662,0.9856977,0.00002541874,0.00404807,5.652081e-7,0.00002251391,0.0006029723,0.0000100515,0.00009054944,0.00005699273,0.0001097539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971823,0.00009714713,0.00007089128,0.0006441152,0.0002853249,0.001189962,0.0004712357,0.00001602518,0.00004302124],"genre_scores_gemma":[0.9978611,0.0008307212,0.0001280085,0.0004808288,0.0004315725,0.00005328447,0.0001910129,0.00001974016,0.000003679453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288589,"threshold_uncertainty_score":0.9921017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744683849890955,"score_gpt":0.4162219760656936,"score_spread":0.358775137566784,"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."}}