{"id":"W2171139538","doi":"10.1016/j.ajem.2014.12.029","title":"Detection of acute myocardial ischemic injury by gender using a novel cardiac electrical biomarker","year":2014,"lang":"en","type":"article","venue":"The American Journal of Emergency Medicine","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Alberta Machine Intelligence Institute","keywords":"Medicine; Electrocardiography; Internal medicine; Cardiology; Positive predicative value; Diagnostic accuracy; Biomarker; Correlation; Predictive value","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182231,0.000180576,0.000908228,0.0002635972,0.00007437658,0.000001592548,0.0001695962,0.00004173808,0.00006632052],"category_scores_gemma":[0.0003414482,0.0001066152,0.0004222379,0.001081498,0.0002543105,0.00005085942,0.00002394546,0.0003714389,0.000001562527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006870372,"about_ca_system_score_gemma":0.00006665412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087974,"about_ca_topic_score_gemma":1.757738e-7,"domain_scores_codex":[0.9979583,0.000167858,0.0008342782,0.0001507958,0.0006332483,0.0002555264],"domain_scores_gemma":[0.9980214,0.0001010127,0.001003354,0.0002949444,0.0003847972,0.0001944855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005570534,0.0000659759,0.01069292,0.00001147346,0.001749279,0.000001291405,0.0001831814,0.000005349855,0.9666618,0.000001656535,0.003461992,0.01660802],"study_design_scores_gemma":[0.01229028,0.03274842,0.1932812,0.001446182,0.06867352,0.001579261,0.004717352,0.02974644,0.581167,0.000345045,0.07190792,0.002097381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732715,0.001192356,0.02338754,0.0005528944,0.001170962,0.00006742331,0.000004789884,0.00001017744,0.0003423127],"genre_scores_gemma":[0.9960554,0.001230587,0.0005084599,0.00008415395,0.002000584,0.00000130065,0.000002247314,0.0000259541,0.00009129943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3854948,"threshold_uncertainty_score":0.4347643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188651367578312,"score_gpt":0.3366817254708067,"score_spread":0.3047952117950236,"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."}}