{"id":"W2948808510","doi":"","title":"Abstract 11425: Clinical Determinants of Normal Coronary Angiograms in Ontario","year":2012,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronary angiography; Cardiology; Internal medicine; Radiology; 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":[0.0003375513,0.000166911,0.0001975612,0.0007591011,0.001577183,0.0006927903,0.000625994,0.0004930504,0.007136657],"category_scores_gemma":[0.002781422,0.0002936412,0.0001470768,0.002021074,0.0007418105,0.0002930779,0.0007421297,0.0004785401,0.0007304724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009400855,"about_ca_system_score_gemma":0.01669795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9358976,"about_ca_topic_score_gemma":0.958221,"domain_scores_codex":[0.9993886,0.00004929708,0.00004280472,0.00009209695,0.000265617,0.0001615107],"domain_scores_gemma":[0.9964041,0.0003252152,0.0009262818,0.00009559457,0.001015631,0.001233303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005512499,0.00002614772,0.9953017,0.00002143048,0.000008492227,0.0001506425,0.0004208069,0.00003248918,0.0002119836,0.00005859072,0.001627968,0.002084551],"study_design_scores_gemma":[0.000006121721,0.00001640399,0.998713,0.00001167786,0.00000550081,0.00006799331,0.0003105271,0.00005268572,0.00002896301,0.00002163395,0.0007617199,0.000003753617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833791,0.0003809212,0.0001077423,0.001400432,0.00002030711,0.00006665529,0.006217049,0.0000163484,0.008411422],"genre_scores_gemma":[0.9961235,0.0002607531,0.000128779,0.0001767811,0.00002197105,0.00002752939,0.001227053,0.000007605455,0.002026081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06410241,"threshold_uncertainty_score":0.1289598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05401521318273968,"score_gpt":0.340110005810725,"score_spread":0.2860947926279854,"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."}}