{"id":"W4415799591","doi":"10.1161/circ.152.suppl_3.4369150","title":"Abstract 4369150: AI-enabled Plaque Phenotype Analysis of Coronary Computed Tomography Angiography Findings in Patients with Nonacute Chest Pain using FFR <sub>CT</sub> : Results from the PRECISE Trial","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Ottawa","funders":"","keywords":"Stenosis; Coronary artery disease; Fractional flow reserve; Chest pain; Angina; Angiography; Computed tomography angiography; Coronary angiography","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":[0.00413313,0.0007850507,0.001527365,0.0002945455,0.0002055054,0.001091257,0.0003968284,0.0007363886,0.003595473],"category_scores_gemma":[0.003942047,0.0002793872,0.001752034,0.0004539862,0.000563169,0.0008009048,0.0004405989,0.0009913538,0.0005088535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745552,"about_ca_system_score_gemma":0.0002861985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002849784,"about_ca_topic_score_gemma":0.0005284242,"domain_scores_codex":[0.9983339,0.001045336,0.0001531946,0.0002143576,0.0001792865,0.00007400154],"domain_scores_gemma":[0.996419,0.00140092,0.001119185,0.0005062501,0.0002828685,0.0002718969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8264079,0.001647681,0.08610821,0.002946035,0.00920763,0.000108203,0.0002101768,0.001156083,0.005740892,0.0004420176,0.002650431,0.06337479],"study_design_scores_gemma":[0.4124707,0.09241056,0.4635309,0.0007639477,0.01875122,0.0004179849,0.0001775046,0.002142217,0.002065988,0.001527032,0.005592398,0.0001495671],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816685,0.01213776,0.0008294475,0.0005951168,0.0001866229,0.0005001323,0.00167166,0.00004822451,0.00236232],"genre_scores_gemma":[0.9926823,0.002060344,0.001269696,0.0005327741,0.0004434262,0.0004132146,0.001894096,0.00001444858,0.0006898193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00413313,"threshold_uncertainty_score":0.02185839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037792363536526,"score_gpt":0.2387382249501307,"score_spread":0.2283603013147655,"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."}}