{"id":"W7094790621","doi":"","title":"Temporal changes in FFR<sub>CT</sub>-Guided Management of Coronary Artery Disease – Lessons from the ADVANCE Registry","year":2021,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronary artery disease; Disease; MEDLINE; Coronary heart disease; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007886129,0.0001682963,0.0005210876,0.001323132,0.0002741252,0.002147857,0.0007473354,0.0009168172,0.003075332],"category_scores_gemma":[0.02264189,0.0002820483,0.0003766059,0.00382244,0.0006196853,0.002362417,0.001081731,0.001589758,0.000670694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100195,"about_ca_system_score_gemma":0.001356875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151221,"about_ca_topic_score_gemma":0.01355489,"domain_scores_codex":[0.9973622,0.0007698007,0.0005049574,0.0006058273,0.0005203038,0.0002369242],"domain_scores_gemma":[0.9820204,0.005905665,0.005374257,0.002678509,0.003090954,0.0009301656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002269013,0.0002306254,0.7937374,0.0002561175,0.0003142714,0.0004077583,0.0009785092,0.001037383,0.0006536279,0.009154865,0.01819297,0.1727675],"study_design_scores_gemma":[0.00009410344,0.0003056494,0.9637153,0.0003551716,0.0001569623,0.0009035708,0.001032985,0.001380543,0.0004081855,0.00355924,0.02802641,0.00006194362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551319,0.03523718,0.01140213,0.02760737,0.001315567,0.0001009366,0.01745051,0.00028438,0.05147016],"genre_scores_gemma":[0.9714062,0.01063309,0.00642359,0.001955003,0.0009098004,0.00007131536,0.006373061,0.0001906728,0.002037263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01151221,"threshold_uncertainty_score":0.04170632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118826560654478,"score_gpt":0.2705312253802845,"score_spread":0.2393429597737397,"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."}}