{"id":"W2924653705","doi":"10.1161/circulationaha.118.037021","title":"Physiological and Clinical Assessment of Resting Physiological Indexes","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Fractional flow reserve; Stenosis; Diastole; Myocardial infarction; Blood pressure; Coronary angiography","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":[0.001216803,0.0005790662,0.0003985596,0.0008310121,0.0001303145,0.000582325,0.0003632545,0.0004635604,0.001212042],"category_scores_gemma":[0.004760395,0.0001292934,0.000181533,0.0005248157,0.0003774463,0.0004175476,0.0003503975,0.0005187374,0.0003625634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457962,"about_ca_system_score_gemma":0.0002053101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219782,"about_ca_topic_score_gemma":0.0003459499,"domain_scores_codex":[0.9992933,0.0002562346,0.00009875755,0.0001614913,0.0001359121,0.00005420104],"domain_scores_gemma":[0.9971939,0.0007987504,0.0009764623,0.0002653041,0.0004573078,0.0003082025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004606388,0.0001073856,0.9776173,0.00005510136,0.0000990113,0.0002232176,0.00008902714,0.0003176748,0.003463698,0.00008935751,0.0002085368,0.01726913],"study_design_scores_gemma":[0.00001206987,0.0004263477,0.9966829,0.000008541513,0.00002087507,0.0008843216,0.00004487823,0.000844189,0.0007024168,0.00008785693,0.0002741161,0.00001145025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915514,0.0009577743,0.003576897,0.00007667165,0.00002408008,0.00004954899,0.0007195683,0.00007834784,0.002965741],"genre_scores_gemma":[0.997936,0.0001722175,0.00098931,0.00003417982,0.00004715407,0.00004185859,0.000572409,0.000006465579,0.0002003992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216803,"threshold_uncertainty_score":0.006435096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687171974954455,"score_gpt":0.3937925796040783,"score_spread":0.3269208598545337,"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."}}