{"id":"W2761578620","doi":"10.1093/eurheartj/ehx502.p2749","title":"P2749Is relying on ST depression to help predict coronary artery disease after an out-of-hospital cardiac arrest harming patients?","year":2017,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of British Columbia","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Depression (economics); Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006030555,0.0003358421,0.0004518651,0.0008272369,0.0003534994,0.0008376178,0.0004756943,0.0006476482,0.003431148],"category_scores_gemma":[0.003980188,0.0001601629,0.0004178679,0.0009217651,0.0004050161,0.0005093031,0.0003013998,0.0008401658,0.0007456946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169076,"about_ca_system_score_gemma":0.0005821707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188369,"about_ca_topic_score_gemma":0.006660534,"domain_scores_codex":[0.9994895,0.00008578193,0.00006450222,0.0000925262,0.0001273485,0.0001402579],"domain_scores_gemma":[0.9975151,0.0005995244,0.001148733,0.0000991273,0.0002781971,0.0003592768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001208734,0.000020099,0.9961846,0.00001047995,0.00003978296,0.0005407524,0.0000196948,0.00002593587,0.0001200611,0.00003216905,0.0004696427,0.002415765],"study_design_scores_gemma":[0.00003002616,0.0001185103,0.992343,0.00006516214,0.00009966971,0.00484445,0.0002386505,0.000758772,0.0001671314,0.0001859949,0.00113824,0.0000104283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992784,0.001747462,0.000202146,0.001116766,0.00006964221,0.0000275458,0.0005827215,0.000009830133,0.003459972],"genre_scores_gemma":[0.9985132,0.0005535911,0.0001129065,0.000174121,0.00008720205,0.000009491578,0.0003069901,0.000004863197,0.0002376285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004188369,"threshold_uncertainty_score":0.0114783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239092500038725,"score_gpt":0.2938051498303155,"score_spread":0.269895899826443,"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."}}