{"id":"W4415546534","doi":"10.1161/circinterventions.125.016022","title":"Impact of Pullback Pressure Gradient on Clinical Outcomes after Percutaneous Coronary Interventions","year":2025,"lang":"en","type":"article","venue":"Circulation Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"Abbott Vascular","keywords":"Percutaneous coronary intervention; Percutaneous; Fractional flow reserve; Risk stratification; Psychological intervention; Blood pressure; Conventional PCI; Interventional cardiology","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":[0.003781089,0.0004004998,0.0004753939,0.000343245,0.0002376473,0.000898072,0.0003509886,0.0005129632,0.00142524],"category_scores_gemma":[0.009147843,0.0001357298,0.0006325886,0.0003677434,0.0003478013,0.0005329562,0.000602004,0.0008840022,0.0002152238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002734913,"about_ca_system_score_gemma":0.0003606851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006833702,"about_ca_topic_score_gemma":0.0008495013,"domain_scores_codex":[0.9984976,0.0006732431,0.0001183226,0.0002670497,0.000284684,0.0001590409],"domain_scores_gemma":[0.9925889,0.003651711,0.001821906,0.0005338505,0.0005545898,0.0008491142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002241317,0.0001212938,0.9916288,0.00002867325,0.000351159,0.00003356183,0.00002736965,0.0003539932,0.0001732567,0.00003083516,0.000210285,0.004799389],"study_design_scores_gemma":[0.00005343583,0.0008179687,0.9971797,0.00001246739,0.0001981956,0.00006749635,0.00002915406,0.001294928,0.0001230895,0.00008956426,0.0001274994,0.000006487741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984531,0.0004515707,0.0002220166,0.000117425,0.00001755334,0.00001215064,0.0002298316,0.000007403117,0.0004889551],"genre_scores_gemma":[0.9995142,0.00005565818,0.00007738037,0.00003005949,0.00002544492,0.000008957282,0.0002348875,0.000002346506,0.00005097604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003781089,"threshold_uncertainty_score":0.01999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819033899240714,"score_gpt":0.3945501104597413,"score_spread":0.3363597714673342,"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."}}