{"id":"W3173310040","doi":"10.1016/j.amjcard.2021.04.029","title":"Seattle Angina Pectoris Questionnaire and Canadian Cardiovascular Society Angina Categories in the Assessment of Total Coronary Atherosclerotic Burden","year":2021,"lang":"en","type":"article","venue":"The American Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Angina; Canadian Cardiovascular Society; Internal medicine; Coronary angiography; Cardiology; Coronary atherosclerosis; Quality of life (healthcare); Diabetes mellitus; Percutaneous coronary intervention; Angiography; Coronary artery disease; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002413874,0.0006066837,0.0009364421,0.002276814,0.0005460235,0.0009615435,0.001124126,0.0009346441,0.001928128],"category_scores_gemma":[0.004649192,0.0005039777,0.0008743648,0.001561202,0.0003627054,0.000887328,0.001143949,0.001233776,0.0003618485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818025,"about_ca_system_score_gemma":0.00129282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05980847,"about_ca_topic_score_gemma":0.09670408,"domain_scores_codex":[0.998768,0.0003674571,0.0001768704,0.0001419067,0.0004021566,0.0001434344],"domain_scores_gemma":[0.9982161,0.0003660202,0.000639601,0.00009239932,0.000415841,0.0002699566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005867332,0.0001361027,0.9928721,0.00004916131,0.0003946387,0.00004595415,0.0001072177,0.0003642211,0.0001667919,0.0001009435,0.001803358,0.003372818],"study_design_scores_gemma":[0.00006488794,0.00009202184,0.9980166,0.00002345844,0.0001078046,0.00007521234,0.0001401397,0.0008054621,0.00003521465,0.00007003978,0.0005509093,0.00001816746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783533,0.001745964,0.0007786826,0.0003495451,0.00009400622,0.0003650033,0.01208535,0.00003411372,0.00619408],"genre_scores_gemma":[0.988005,0.0007616129,0.001571587,0.0001862239,0.00005904323,0.0004017621,0.006583982,0.0000127103,0.002418169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9401915,"threshold_uncertainty_score":0.1189207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013026303144257,"score_gpt":0.2638466931981727,"score_spread":0.2537164301667302,"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."}}