{"id":"W4390344769","doi":"10.1161/circinterventions.123.013204","title":"Calculating Relative Lung Perfusion Using Fluoroscopic Sequences and Image Analysis: The Fluoroscopic Flow Calculator","year":2023,"lang":"en","type":"article","venue":"Circulation Cardiovascular Interventions","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Queen's University","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Perfusion; Lung; Fluoroscopy; Nuclear medicine; Pulmonary artery; Blood flow; Ventricle; Radiology; Perfusion scanning; Cardiac catheterization; Cardiology; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007808614,0.0002440845,0.0006245704,0.0004786821,0.0008416761,0.0001012714,0.00008462072,0.00009964743,0.0001087396],"category_scores_gemma":[0.0003670544,0.0001983513,0.002463601,0.002003699,0.0002460603,0.0003070773,0.000185205,0.0002302645,0.0000404262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479183,"about_ca_system_score_gemma":0.00007587946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625245,"about_ca_topic_score_gemma":0.00005481203,"domain_scores_codex":[0.997735,0.0002391157,0.0005475243,0.000537606,0.0006057892,0.0003349864],"domain_scores_gemma":[0.9986698,0.0001184602,0.00009108857,0.0006540121,0.0003173975,0.0001492273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008065783,0.0003247195,0.7679981,0.003411988,0.07888424,0.0004957186,0.009204601,0.07152639,0.0284726,0.0008894614,0.000313755,0.03839778],"study_design_scores_gemma":[0.0006322758,0.00002603257,0.5393382,0.0004599867,0.01369299,0.00004786541,0.0009520699,0.4443156,0.000136086,0.0001168763,0.00008171132,0.0002002333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600734,0.01370413,0.0243893,0.0002098355,0.0002457484,0.0009234768,0.00004230649,0.0002245468,0.0001873054],"genre_scores_gemma":[0.9981786,0.0000900516,0.001154898,0.00003043419,0.0001457601,0.00008822678,0.00011955,0.00003310079,0.0001593479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3727892,"threshold_uncertainty_score":0.8088532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04727008546197841,"score_gpt":0.3438790522430432,"score_spread":0.2966089667810647,"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."}}