{"id":"W4247852676","doi":"10.3410/f.733637508.793548500","title":"Faculty Opinions recommendation of Impact of Elective Percutaneous Coronary Intervention on Global Absolute Coronary Flow and Flow Reserve Evaluated by Phase-Contrast Cine-Magnetic Resonance Imaging in Relation to Regional Invasive Physiological Indices.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Magnetic resonance imaging; Percutaneous coronary intervention; Contrast (vision); Medicine; Cardiology; Flow (mathematics); Fractional flow reserve; Phase contrast microscopy; Internal medicine; Coronary flow reserve; Radiology; Blood flow; Computer science; Physics; Coronary angiography; Mechanics; Artificial intelligence; Optics","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":[0.001141528,0.001308775,0.001336644,0.002068367,0.0003533377,0.001865903,0.001882301,0.001626004,0.07091054],"category_scores_gemma":[0.01447521,0.0003988417,0.001960076,0.00271402,0.0002060518,0.001023993,0.001185312,0.001463672,0.03611847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925191,"about_ca_system_score_gemma":0.001951536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633723,"about_ca_topic_score_gemma":0.03554562,"domain_scores_codex":[0.9989554,0.0001599053,0.0001754813,0.000386898,0.0002047652,0.0001175906],"domain_scores_gemma":[0.9954441,0.001391252,0.001034608,0.0005995136,0.00102351,0.0005070906],"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":[0.0005337966,0.00005141681,0.01651067,0.001710536,0.0004701372,0.00004190087,0.00001629239,0.0002911066,0.0001287688,0.0002487385,0.9732366,0.006760127],"study_design_scores_gemma":[0.004119069,0.0001449431,0.1179227,0.002539605,0.001197354,0.0004111171,0.0001589939,0.002408942,0.0007910648,0.002395051,0.8677927,0.0001184558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005944518,0.0001393658,0.00005957591,0.0001782039,0.00003987298,0.00001702554,0.9982504,0.0001039063,0.0006170401],"genre_scores_gemma":[0.004039893,0.0002089068,0.0003720719,0.0002288359,0.00006753985,0.0001437101,0.9931163,0.00006694737,0.001755782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07091054,"threshold_uncertainty_score":0.2372194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973244144935729,"score_gpt":0.3822069101489017,"score_spread":0.3524744686995444,"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."}}