{"id":"W2120596229","doi":"10.1016/s0828-282x(08)70549-x","title":"Diagnosis and discrimination of remote antero- and inferoseptal non-Q wave myocardial infarctions with body surface potential mapping","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Negativity effect; Artery; Myocardial infarction; Coronary arteries; Concordance; Occlusion; Right coronary artery; Electrocardiography; Stenosis; Lesion; Radiology; Pathology; Coronary angiography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001317661,0.0008945798,0.0004972543,0.001341767,0.0002956001,0.0008286712,0.0005663281,0.0009799242,0.001130559],"category_scores_gemma":[0.005285529,0.0002535361,0.00030464,0.0003221664,0.0006261175,0.001119407,0.0005563418,0.0006733862,0.0003406012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271667,"about_ca_system_score_gemma":0.0002453236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005541306,"about_ca_topic_score_gemma":0.00103671,"domain_scores_codex":[0.9996077,0.000110318,0.00005912298,0.00006443035,0.00007713636,0.00008129914],"domain_scores_gemma":[0.9981591,0.001118711,0.0001840065,0.00008497934,0.0001582085,0.0002949586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003264027,0.0001658894,0.9644386,0.0000458773,0.00006207079,0.004667644,0.0001944991,0.0002075432,0.0104245,0.0001646378,0.0001177911,0.01624672],"study_design_scores_gemma":[0.0001779904,0.0009488704,0.9753398,0.00002745691,0.000132095,0.01396647,0.0005462473,0.005115108,0.002789105,0.0006088064,0.0003249505,0.00002305139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973927,0.000397897,0.0009366375,0.00007982907,0.00002048179,0.00001697197,0.00004275286,0.00000737428,0.001105431],"genre_scores_gemma":[0.9990817,0.0001665318,0.0005209784,0.00002024082,0.0000452867,0.000005240752,0.0000590557,0.000002004025,0.00009900038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001341767,"threshold_uncertainty_score":0.006968558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314458800528159,"score_gpt":0.2195173108282721,"score_spread":0.2063727228229905,"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."}}