{"id":"W3080879839","doi":"10.1002/ccd.29210","title":"Non‐invasive procedural planning using computed tomography‐derived fractional flow reserve","year":2020,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fractional flow reserve; Conventional PCI; Medicine; Percutaneous coronary intervention; Coronary artery disease; Coronary angiography; Cardiology; Radiology; Nuclear medicine; Internal medicine; 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":[0.001277777,0.0006000772,0.0004843209,0.0006988551,0.0001190262,0.0009537411,0.0003612404,0.0004026266,0.00136864],"category_scores_gemma":[0.006668871,0.0002919685,0.00048471,0.0002202289,0.0003531584,0.0004582937,0.0003074867,0.0004164836,0.0002882853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362241,"about_ca_system_score_gemma":0.0004779962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296343,"about_ca_topic_score_gemma":0.00108718,"domain_scores_codex":[0.9993788,0.0002967311,0.00003797419,0.000110935,0.0001462399,0.00002923803],"domain_scores_gemma":[0.9965045,0.002488702,0.0005072326,0.0002589643,0.0001212694,0.0001192373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008963992,0.0007515902,0.3547955,0.0003466254,0.0005614223,0.0009385596,0.0003864139,0.3333347,0.04803102,0.001794873,0.001106428,0.2489888],"study_design_scores_gemma":[0.0002569237,0.002751479,0.2276318,0.00006112886,0.0002779868,0.002224328,0.000139949,0.7342772,0.02786435,0.002694191,0.001670331,0.0001503939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945416,0.001147008,0.1005125,0.0001212241,0.00002977032,0.00009399717,0.0002582666,0.0006575378,0.002638196],"genre_scores_gemma":[0.9888734,0.0001,0.01056282,0.00002564681,0.00001322458,0.00003859012,0.0001309957,0.00002859668,0.000226659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136864,"threshold_uncertainty_score":0.006757617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06126626923821323,"score_gpt":0.3014001755052141,"score_spread":0.2401339062670008,"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."}}