{"id":"W2810984397","doi":"10.5114/aic.2018.76416","title":"Marking wire technique for zero-contrast percutaneous coronary interventions","year":2018,"lang":"en","type":"article","venue":"Advances in Interventional Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Contrast (vision); Percutaneous; Cardiology; Internal medicine; Artificial intelligence; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0021291,0.0008646099,0.0006652054,0.002955713,0.001084129,0.00225154,0.001122019,0.00169207,0.02275908],"category_scores_gemma":[0.006534592,0.0004890991,0.001076188,0.00122933,0.001039956,0.002054168,0.001597553,0.003839978,0.017624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932306,"about_ca_system_score_gemma":0.00111543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005782571,"about_ca_topic_score_gemma":0.001048655,"domain_scores_codex":[0.9978164,0.0004053753,0.0003060489,0.000258329,0.001059684,0.0001541077],"domain_scores_gemma":[0.9966827,0.0009490691,0.0005676113,0.0006407005,0.0007804284,0.0003795909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007217968,0.0002158992,0.004408239,0.001792995,0.00008942831,0.00884996,0.0006985655,0.0003009369,0.03765609,0.009124398,0.1119262,0.8242155],"study_design_scores_gemma":[0.0002770471,0.001460852,0.01588148,0.002347562,0.0003225429,0.1444757,0.000512844,0.002850771,0.0590985,0.01324009,0.7592142,0.0003185788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0473332,0.1040384,0.5863016,0.02482968,0.0228318,0.001344978,0.001320968,0.01342182,0.1985776],"genre_scores_gemma":[0.2647879,0.07659991,0.5392261,0.0103588,0.009549213,0.0009695493,0.001752845,0.003366542,0.09338902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02275908,"threshold_uncertainty_score":0.07613671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473485601965252,"score_gpt":0.3522809938821683,"score_spread":0.3275461378625157,"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."}}