{"id":"W2215324745","doi":"10.1016/j.jacc.2009.03.049","title":"Quantification of Myocardial Flow Reserve Using Positron Emission Imaging","year":2009,"lang":"en","type":"letter","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Positron emission tomography; Coronary flow reserve; Positron emission; Fractional flow reserve; Nuclear medicine; Positron; Medical physics; Cardiology; Blood flow; Nuclear physics; Coronary angiography; Myocardial infarction; Physics","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":[0.001570913,0.0007338991,0.001461748,0.0006606558,0.0005839143,0.001376884,0.0009657462,0.01129667,0.001686674],"category_scores_gemma":[0.008243482,0.0004640208,0.0008070878,0.0002873917,0.001091657,0.001308903,0.0003780788,0.00860595,0.001851553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065284,"about_ca_system_score_gemma":0.0003970836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009921447,"about_ca_topic_score_gemma":0.002503093,"domain_scores_codex":[0.9991102,0.0004123481,0.0001100389,0.00008355586,0.0002004785,0.00008346881],"domain_scores_gemma":[0.997795,0.001537874,0.0001198688,0.0001207304,0.0002674784,0.0001589865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002045756,0.0007254567,0.04065546,0.0006093603,0.0004026452,0.1154143,0.0004114562,0.00118276,0.01540853,0.009664956,0.5638606,0.2496188],"study_design_scores_gemma":[0.001693826,0.002416373,0.03772376,0.001182691,0.0007826514,0.309396,0.0007046563,0.01540289,0.02088858,0.02820529,0.5812859,0.0003173339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04602768,0.02105635,0.01130719,0.8561081,0.0288594,0.0001803725,0.0002478795,0.0004374008,0.03577559],"genre_scores_gemma":[0.4405473,0.01515145,0.01522125,0.4396623,0.06674941,0.0004012799,0.0002983777,0.0002140794,0.02175452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01129667,"threshold_uncertainty_score":0.008307874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911093073077279,"score_gpt":0.2958770866176633,"score_spread":0.2767661558868905,"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."}}