{"id":"W4400273465","doi":"10.1016/j.jcin.2024.04.043","title":"Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Joseph Durda Foundation; Minneapolis Heart Institute Foundation","keywords":"Occlusion; Medicine; Primary (astronomy); Computer science; Surgery; Physical medicine and rehabilitation; Physics","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":[0.001056063,0.0008353629,0.0006946566,0.001587184,0.0003158455,0.001573925,0.0006057892,0.0009714123,0.001954258],"category_scores_gemma":[0.007872256,0.0002751991,0.0007047299,0.0005451683,0.0003026518,0.0008545642,0.0004382705,0.001217298,0.0007681817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590461,"about_ca_system_score_gemma":0.000490721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322925,"about_ca_topic_score_gemma":0.002838629,"domain_scores_codex":[0.9994704,0.0001032837,0.00006165537,0.0001516565,0.0001180877,0.00009494142],"domain_scores_gemma":[0.9951585,0.002914159,0.0007564331,0.0002480323,0.0005810722,0.0003419048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001184834,0.0005165452,0.8863522,0.00006858315,0.0001731924,0.0004439916,0.00004280893,0.02936497,0.001523235,0.0003679583,0.002017721,0.077944],"study_design_scores_gemma":[0.00005735278,0.0007438458,0.3154783,0.0001035339,0.0002950637,0.001587639,0.0002117756,0.6745608,0.002988983,0.002853822,0.001062433,0.00005639596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721686,0.000925787,0.02350657,0.0003242966,0.0001117857,0.00005344619,0.0007406822,0.0002970189,0.001871656],"genre_scores_gemma":[0.9942126,0.0002434164,0.004291245,0.00003339758,0.00005840472,0.00001809765,0.0007188927,0.00002149335,0.0004023651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322925,"threshold_uncertainty_score":0.006537616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176734434901455,"score_gpt":0.2930478607592307,"score_spread":0.2712805164102162,"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."}}