{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007276293,0.0003489357,0.0006395511,0.0004399819,0.0007387266,0.0005226207,0.0001372135,0.0001355774,0.0003904009],"category_scores_gemma":[0.0001632319,0.0002992837,0.003128524,0.0006414701,0.000170194,0.000474746,0.0002773805,0.0008658415,0.00004203803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000787221,"about_ca_system_score_gemma":0.0003228698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000718573,"about_ca_topic_score_gemma":0.0001649221,"domain_scores_codex":[0.9973907,0.0001597577,0.0006583257,0.0006491065,0.0006433699,0.0004987682],"domain_scores_gemma":[0.9988468,0.0001215446,0.0001005085,0.0005701922,0.0001748982,0.0001860199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005570934,0.00219946,0.5259485,0.02771713,0.02925259,0.01709423,0.002317416,0.1148851,0.01617539,0.0007400734,0.0004347001,0.2626784],"study_design_scores_gemma":[0.009326436,0.004447923,0.2013971,0.1035856,0.01949722,0.04224985,0.001688737,0.5746744,0.003912271,0.0001116743,0.03684516,0.002263614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838171,0.07924623,0.07973031,0.0001323426,0.000696003,0.0005349529,0.00004341175,0.0005081722,0.0009375534],"genre_scores_gemma":[0.9949473,0.00027685,0.002569544,0.00001863715,0.0006409424,0.00003419157,0.0002118829,0.0001087726,0.001191905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4597894,"threshold_uncertainty_score":0.9999459,"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."}}