{"id":"W2766169790","doi":"10.1007/s12350-017-1087-5","title":"Reporting myocardial flow reserve with PET. Ready or not, here it is! But walk before you fly!","year":2017,"lang":"en","type":"letter","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Centre Hospitalier de l’Université de Montréal","funders":"Lantheus Medical Imaging; INVIA Medical Imaging Solutions","keywords":"Medicine; Fractional flow reserve; Cardiology; Medical physics; Internal medicine; Coronary angiography; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001919789,0.0006260804,0.003641642,0.0003616513,0.0002930049,0.0001469422,0.0005128704,0.001053826,0.0001448072],"category_scores_gemma":[0.006641421,0.0004205746,0.001688624,0.00009806878,0.0004401776,0.0001721183,0.0002205803,0.005385766,0.0001114249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203889,"about_ca_system_score_gemma":0.0009899912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001046428,"about_ca_topic_score_gemma":0.000006582498,"domain_scores_codex":[0.9949599,0.0003227218,0.002128063,0.0006224264,0.001118155,0.0008487421],"domain_scores_gemma":[0.991385,0.0003988564,0.004933314,0.001581402,0.001394092,0.0003073497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001938642,0.00001457121,0.008961096,0.000220258,0.002098975,0.1949398,0.0001889669,0.00002631551,0.00002263281,8.654277e-7,0.7908662,0.0007216597],"study_design_scores_gemma":[0.002121626,0.001980048,0.009101259,0.001037728,0.00255659,0.1829841,0.0002810388,0.00002594143,0.00000466661,0.00001738364,0.7995277,0.0003619254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05456809,0.0008630605,0.00004439782,0.9043819,0.007038768,0.0006219615,0.000440846,0.000112708,0.03192824],"genre_scores_gemma":[0.05601113,0.0008746113,0.006350976,0.7905927,0.1244534,0.00001463594,0.0004236893,0.0007848436,0.020494],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1174146,"threshold_uncertainty_score":0.9998246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686057320287963,"score_gpt":0.3115072277785342,"score_spread":0.2646466545756546,"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."}}