{"id":"W4307023735","doi":"10.1016/j.cjca.2022.08.062","title":"ANGIOGRAPHIC PREDICTORS OF CTO PCI SUCCESS: HOW TO GUIDE DECISION MAKING BEYOND THE J-CTO SCORE","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Conventional PCI; TIMI; Percutaneous coronary intervention; Thrombolysis; Internal medicine; Cardiology; Ejection fraction; Fractional flow reserve; Myocardial infarction; Observational study; Univariate analysis; Radiology; Heart failure; Coronary angiography; Multivariate analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009455055,0.001509658,0.0052641,0.004923767,0.001168005,0.00997501,0.001975055,0.002836971,0.004428111],"category_scores_gemma":[0.04982907,0.0007728026,0.001841606,0.002315372,0.001191157,0.00616991,0.001560833,0.007368891,0.003508076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117601,"about_ca_system_score_gemma":0.003441429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00545942,"about_ca_topic_score_gemma":0.01082184,"domain_scores_codex":[0.9949372,0.002240252,0.0008515563,0.0005937486,0.001075901,0.0003013718],"domain_scores_gemma":[0.9653657,0.01833604,0.003133387,0.001279732,0.009050669,0.002834496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012092,0.0008687094,0.5565911,0.0006425193,0.001027242,0.000721172,0.0004335831,0.004089542,0.0009637049,0.00374612,0.1082616,0.3214455],"study_design_scores_gemma":[0.000944668,0.001496428,0.6560418,0.007716615,0.003813288,0.003851425,0.00457258,0.1119165,0.002841207,0.1222743,0.08335686,0.001174292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3345274,0.1105884,0.1157923,0.3410611,0.01222907,0.001053904,0.007575887,0.003231629,0.07394018],"genre_scores_gemma":[0.8569373,0.01960302,0.08114003,0.01792214,0.01735439,0.0004420329,0.002649771,0.0004410981,0.003510215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00997501,"threshold_uncertainty_score":0.05000371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693110033919905,"score_gpt":0.270869218383376,"score_spread":0.2539381180441769,"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."}}