{"id":"W2902427643","doi":"10.1161/circoutcomes.11.suppl_1.165","title":"Abstract 165: Temporal Trends in FFR Utilization in Patients Undergoing Coronary Angiography: A Population Based Study","year":2018,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Fractional flow reserve; Cardiology; Internal medicine; Coronary artery disease; Population; Cohort; Acute coronary syndrome; Scad; Revascularization; Coronary angiography; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007360139,0.0001966032,0.0002720034,0.001147179,0.0004421966,0.0007541843,0.0005050994,0.0005197817,0.001341265],"category_scores_gemma":[0.002249265,0.0003171606,0.0004628905,0.00222513,0.0002652877,0.0005852409,0.0004130449,0.0005144488,0.0003138509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075208,"about_ca_system_score_gemma":0.0009533918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05800067,"about_ca_topic_score_gemma":0.07451084,"domain_scores_codex":[0.9994221,0.00008748777,0.00008476444,0.0001473244,0.0001515999,0.0001068772],"domain_scores_gemma":[0.9980689,0.0002045267,0.001087385,0.0001342277,0.0002599183,0.0002451202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002897328,0.00001717838,0.9994112,0.000005181241,0.00002495917,0.00002257918,0.00004661694,0.00001068332,0.00005442608,0.000004626976,0.00008893049,0.0002847152],"study_design_scores_gemma":[0.000002735115,0.00002591053,0.9996709,0.000002125463,0.00001056573,0.0000536188,0.00006324241,0.00006918635,0.000009168469,0.000004201095,0.00008667218,0.000001676365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977117,0.0001337597,0.00007669794,0.0000661778,0.000004603574,0.00001538477,0.001669385,0.000004374926,0.0003178847],"genre_scores_gemma":[0.9983599,0.00008448809,0.0001101025,0.00005283667,0.0000156624,0.00001972467,0.001210352,0.000002617647,0.0001442449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05800067,"threshold_uncertainty_score":0.1153262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06446182340811492,"score_gpt":0.3434113846757447,"score_spread":0.2789495612676298,"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."}}