{"id":"W3135448628","doi":"10.1002/clc.23551","title":"Rationale and design of the precise percutaneous coronary intervention plan (<scp>P3</scp>) study: Prospective evaluation of a virtual computed tomography‐based percutaneous intervention planner","year":2021,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Conventional PCI; Fractional flow reserve; Percutaneous coronary intervention; Radiology; Percutaneous; Cardiology; Coronary artery disease; Prospective cohort study; Internal medicine; Coronary angiography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847662,0.0001790473,0.0007059788,0.0001148708,0.0000749744,0.0000108593,0.0001234733,0.0002091431,0.00007688078],"category_scores_gemma":[0.003857173,0.0001430777,0.0006957867,0.0002302849,0.0003680242,0.00004324669,0.0001470158,0.0003169256,0.000003087638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000727234,"about_ca_system_score_gemma":0.0002176625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001566885,"about_ca_topic_score_gemma":0.00005012105,"domain_scores_codex":[0.9956056,0.002251286,0.001090872,0.0004558986,0.0004351909,0.0001610916],"domain_scores_gemma":[0.9951835,0.002789241,0.0003788118,0.0004246139,0.001139606,0.00008419461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002103947,0.005816781,0.9483407,0.0002207062,0.00174711,0.0007172971,0.0007540361,0.01031814,0.001554971,0.0001684288,0.001257192,0.02700072],"study_design_scores_gemma":[0.005488708,0.01127913,0.9503676,0.0004724094,0.001864415,0.003675472,0.002819437,0.02308436,0.0002172897,0.0005729583,0.00006791346,0.00009034386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986692,0.001003757,0.009213982,0.00007673851,0.0006615476,0.002079801,0.0001185064,0.00002489175,0.0001287513],"genre_scores_gemma":[0.9988478,0.00003006628,0.0005498179,0.00005237594,0.0001155999,0.00007673335,0.0001934987,0.00001700119,0.0001171061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691037,"threshold_uncertainty_score":0.583454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632745061803195,"score_gpt":0.3602536677365551,"score_spread":0.2839262171185232,"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."}}