{"id":"W2019467771","doi":"10.1186/cc6815","title":"Detecting myocardial infarction in critical illness using screening troponin measurements and ECG recordings","year":2008,"lang":"en","type":"article","venue":"Critical Care","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Heart and Stroke Foundation of Canada","keywords":"Medicine; Myocardial infarction; Troponin; Intensive care unit; Internal medicine; Incidence (geometry); Emergency medicine; Prospective cohort study; Cardiology; Mechanical ventilation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008964723,0.0006163962,0.0004802086,0.001094757,0.0002732091,0.0006088319,0.0003269837,0.0005454355,0.001121835],"category_scores_gemma":[0.003416526,0.0002415433,0.0002231196,0.0006223322,0.0004026616,0.0005303419,0.0004587478,0.0003408161,0.0003970779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521276,"about_ca_system_score_gemma":0.0002908721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006502821,"about_ca_topic_score_gemma":0.001061387,"domain_scores_codex":[0.9993106,0.0002193039,0.0000991339,0.0001020004,0.0001790183,0.00008997796],"domain_scores_gemma":[0.9980823,0.0004769405,0.0007723662,0.00005507299,0.0002736019,0.0003396927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001729269,0.0000543673,0.9935761,0.00002603844,0.00001621387,0.0001240357,0.00003526708,0.00002397317,0.000695777,0.00000511967,0.00006378796,0.005206281],"study_design_scores_gemma":[0.00002423923,0.0007946708,0.9966893,0.00003146719,0.00002778694,0.001410656,0.0001192753,0.0003088498,0.0003689197,0.00002665398,0.000191555,0.000006734818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972489,0.001090004,0.0003794644,0.00009630444,0.00001906561,0.00006375675,0.0001290658,0.00001044602,0.0009629476],"genre_scores_gemma":[0.9983354,0.0005218841,0.0006668885,0.00006640884,0.00005925526,0.00003853126,0.0002006563,0.000001638065,0.0001092946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001121835,"threshold_uncertainty_score":0.004741013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1650781159437287,"score_gpt":0.4122987778090343,"score_spread":0.2472206618653056,"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."}}