{"id":"W3174144872","doi":"10.1016/j.jcct.2021.06.004","title":"Value of semiquantitative assessment of high-risk plaque features on coronary CT angiography over stenosis in selection of studies for FFRct","year":2021,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Dr. Miriam and Sheldon G. Adelson Medical Research Foundation","keywords":"Medicine; Stenosis; Lesion; Radiology; Odds ratio; Internal medicine; Cardiology; Logistic regression; Target lesion; Myocardial infarction; Surgery; Percutaneous coronary intervention","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":[0.009596563,0.0009826041,0.001022594,0.003577864,0.0004630004,0.002315156,0.0009099186,0.00124891,0.001468521],"category_scores_gemma":[0.02694152,0.0003832501,0.000752985,0.001409858,0.0006553605,0.00216248,0.0009056342,0.0007153309,0.0005136178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080343,"about_ca_system_score_gemma":0.0004709595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005861603,"about_ca_topic_score_gemma":0.001116488,"domain_scores_codex":[0.9964768,0.001376827,0.0007205103,0.0003579826,0.0008671334,0.0002007555],"domain_scores_gemma":[0.9799682,0.01133806,0.003011775,0.001105138,0.003256735,0.001320126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002094943,0.00009023656,0.9775966,0.000130397,0.0002885907,0.0003152474,0.0001432621,0.0004421531,0.003205721,0.0001666737,0.0002638914,0.01526233],"study_design_scores_gemma":[0.0001517669,0.001542108,0.9671285,0.0001920044,0.001245214,0.004159641,0.0008619025,0.01832785,0.003585926,0.00109733,0.001593779,0.0001139747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813123,0.004080982,0.006794606,0.0003494989,0.0001886866,0.0001319315,0.0004250792,0.0001328594,0.006584073],"genre_scores_gemma":[0.9955044,0.0002990473,0.003608482,0.00006226807,0.0001120035,0.00003608718,0.0001999427,0.00001884765,0.0001587277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009596563,"threshold_uncertainty_score":0.05075204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375654141715186,"score_gpt":0.2986270997855636,"score_spread":0.2848705583684117,"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."}}