{"id":"W3217566394","doi":"10.1161/circ.144.suppl_1.10637","title":"Abstract 10637: A Pooled Multi-National Validation Study of a Machine Learning, High-Sensitivity Troponin-Based Multi-Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease as Compared to High Sensitivity Troponin Alone in a Subset of Patients with Diabetes","year":2021,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Medicine; Coronary artery disease; Cardiology; Internal medicine; Troponin; Sensitivity (control systems); Myocardial infarction","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":[0.03737061,0.002081891,0.002314265,0.0008904248,0.0006381624,0.001797558,0.00134756,0.00150915,0.001410163],"category_scores_gemma":[0.03250869,0.0008122022,0.005623459,0.0006279926,0.0007277373,0.001137201,0.001636932,0.001286269,0.0007292382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007867197,"about_ca_system_score_gemma":0.0009666437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162562,"about_ca_topic_score_gemma":0.001882115,"domain_scores_codex":[0.989183,0.007325331,0.0005765146,0.001822888,0.0008004598,0.0002918254],"domain_scores_gemma":[0.9752336,0.01091185,0.003071548,0.006939905,0.002953406,0.0008898207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05123068,0.001542477,0.8418494,0.0003869764,0.06842057,0.0003230639,0.000435485,0.01168943,0.004361147,0.0001516712,0.002865704,0.01674339],"study_design_scores_gemma":[0.005485058,0.01874286,0.8655013,0.0002059412,0.0364845,0.001074098,0.0004623342,0.06505255,0.003813885,0.0004724167,0.002435733,0.0002692004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928381,0.001061106,0.003952126,0.0001098673,0.00008718861,0.0001448203,0.001460521,0.00005228701,0.0002939976],"genre_scores_gemma":[0.9952164,0.0001378993,0.0009273025,0.0001009536,0.00005793717,0.00009557146,0.003203503,0.00003058396,0.0002298884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03737061,"threshold_uncertainty_score":0.197637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578776012515426,"score_gpt":0.2439308341580908,"score_spread":0.2281430740329365,"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."}}