{"id":"W4323255811","doi":"10.1016/s0735-1097(23)01851-x","title":"MACHINE LEARNING BASED ANALYSIS OF OXYGENATION-SENSITIVE CMR IMAGES IN PATIENTS WITH SUSPECTED CORONARY ARTERY STENOSIS","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Cardiology; Stenosis; Internal medicine; Oxygenation; Artery; Radiology","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":[0.000547521,0.0002974292,0.0003570947,0.001166126,0.0001697115,0.0005452374,0.0003180287,0.0007618465,0.0007615283],"category_scores_gemma":[0.002452177,0.0001082158,0.0002616793,0.0002716214,0.0001885909,0.0003477679,0.0001760168,0.000372417,0.0001759099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108686,"about_ca_system_score_gemma":0.000174583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000822212,"about_ca_topic_score_gemma":0.001264863,"domain_scores_codex":[0.9998227,0.00005027888,0.00002593393,0.00003365301,0.00003951926,0.00002783427],"domain_scores_gemma":[0.9991818,0.0004769043,0.000119069,0.00002690323,0.0001105597,0.00008468694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002091973,0.0004001104,0.9522913,0.00006043924,0.0001075852,0.001961673,0.0000824294,0.001938655,0.009189897,0.0001285394,0.0006342909,0.03111319],"study_design_scores_gemma":[0.00005283901,0.0006182843,0.9250765,0.00003305146,0.0001507775,0.003206308,0.0002202419,0.06580096,0.004046074,0.0003303574,0.000444387,0.00002013999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979829,0.0003604263,0.0007987585,0.0001597058,0.0000185943,0.00001202851,0.00008640503,0.0000183834,0.000562837],"genre_scores_gemma":[0.9991651,0.0001106639,0.0004724181,0.00002989977,0.00003068042,0.000004188152,0.0001002108,0.000002264934,0.00008454399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001166126,"threshold_uncertainty_score":0.002895653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0063906718349555,"score_gpt":0.2371007964666771,"score_spread":0.2307101246317216,"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."}}