{"id":"W4413782235","doi":"10.1016/j.nuclcard.2025.102407","title":"Multicenter Evaluation of Myocardial Flow Reserve as a Prognostic Marker for Mortality in 13N-Ammonia PET Myocardial Perfusion Imaging","year":2025,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Myocardial perfusion imaging; Perfusion; Cardiology; Perfusion scanning; Internal medicine; Radiology; Nuclear medicine","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":[0.007484589,0.000917442,0.0009854626,0.000628333,0.0007324234,0.001215091,0.000678927,0.0008407675,0.0004716417],"category_scores_gemma":[0.003760778,0.000351993,0.0007192917,0.0006655364,0.0005794068,0.0005632175,0.0007912517,0.0006294636,0.0002941321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008130059,"about_ca_system_score_gemma":0.000792516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274984,"about_ca_topic_score_gemma":0.00254272,"domain_scores_codex":[0.9978948,0.001184887,0.000144251,0.0003799989,0.0002259379,0.0001700781],"domain_scores_gemma":[0.9966629,0.000517527,0.001032903,0.0003367086,0.000851299,0.0005985648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02730517,0.0008196658,0.949078,0.00008535784,0.001526701,0.0001611364,0.0002562124,0.000569296,0.0073237,0.00008316094,0.00073803,0.01205353],"study_design_scores_gemma":[0.001009931,0.003459343,0.9902238,0.00001936095,0.0007004839,0.0003180726,0.0001693641,0.001326094,0.002078272,0.00003655866,0.0006329823,0.0000256111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983392,0.0004431854,0.0002375268,0.00008382231,0.00001373741,0.00007537325,0.0004971962,0.00001261896,0.0002972643],"genre_scores_gemma":[0.9975694,0.0001245788,0.0005653236,0.00005911709,0.00004251581,0.000147418,0.001304689,0.000009644104,0.0001773657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007484589,"threshold_uncertainty_score":0.03958273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269936823492398,"score_gpt":0.3695987530909829,"score_spread":0.3368993848560589,"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."}}