{"id":"W1558047638","doi":"","title":"Abstract 12072: Predictors of Cardiovascular and Non-Cardiovascular Death: From the Clinic to the Lab","year":2014,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Internal medicine; Proportional hazards model; Heart failure; Coronary artery disease; Cause of death; Diabetes mellitus; Cardiology; Disease","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":[0.003700287,0.0007995036,0.000590881,0.001146486,0.0001724592,0.00112391,0.0006079835,0.000433175,0.003164175],"category_scores_gemma":[0.009852419,0.0002695403,0.0005847254,0.00112641,0.0003580104,0.0005179592,0.0007815102,0.001262816,0.000725652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648752,"about_ca_system_score_gemma":0.0007044849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338642,"about_ca_topic_score_gemma":0.002083484,"domain_scores_codex":[0.9987092,0.0007090311,0.00006367662,0.0001720827,0.0002508176,0.00009512532],"domain_scores_gemma":[0.9927449,0.004822587,0.00113084,0.0003594035,0.000489515,0.0004528734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000534417,0.00008653692,0.9823892,0.00004702392,0.0001674598,0.00004648307,0.00002937663,0.002966875,0.0002571772,0.00004595998,0.000565349,0.01286422],"study_design_scores_gemma":[0.0001300496,0.001192888,0.9379432,0.00009485268,0.0004484255,0.0004858359,0.00009148692,0.05623227,0.0009145988,0.0009996408,0.001429813,0.00003700264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896829,0.001152596,0.004959692,0.0006501643,0.0000363951,0.00004298123,0.001838106,0.0001296193,0.001507484],"genre_scores_gemma":[0.9952334,0.0002169297,0.002707723,0.00008022489,0.00004857406,0.00001911868,0.001402883,0.00001301928,0.000278256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003700287,"threshold_uncertainty_score":0.01956922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199796385902015,"score_gpt":0.2589973380448503,"score_spread":0.2369993741858301,"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."}}