{"id":"W4286313754","doi":"10.1016/j.hrthm.2022.03.673","title":"CI-545-01 RISK PREDICTION TOOL FOR CARDIAC PERFORATION DURING TRANSVENOUS LEAD EXTRACTION: A CANADIAN LEAD EXTRACTION RISK (CLEAR) STUDY SCORE","year":2022,"lang":"en","type":"article","venue":"Heart Rhythm","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Lead (geology); Perforation; Complication; Incidence (geometry); Extraction (chemistry); Surgery; Risk assessment","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":[0.001734646,0.001404519,0.001160676,0.002341341,0.0008594254,0.001538423,0.001714015,0.0009658263,0.004499503],"category_scores_gemma":[0.006653998,0.0003779886,0.00273437,0.001850592,0.0004331281,0.0006847085,0.001360119,0.001500668,0.0006651592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004797165,"about_ca_system_score_gemma":0.009010503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4276717,"about_ca_topic_score_gemma":0.5329436,"domain_scores_codex":[0.998547,0.000149588,0.0001515873,0.0001757395,0.0007314138,0.0002447006],"domain_scores_gemma":[0.9967333,0.0004614441,0.0007468337,0.00009617995,0.00140932,0.0005530337],"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":[0.001632604,0.0002644129,0.9585385,0.0002276332,0.001082835,0.0001157746,0.00007878603,0.001056662,0.0002365745,0.0004923408,0.01456624,0.02170781],"study_design_scores_gemma":[0.0003028114,0.0001949302,0.9911413,0.0001277768,0.0008887896,0.0002063394,0.0001103341,0.002381946,0.0001073938,0.0002365073,0.004239351,0.00006242952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925626,0.004836969,0.002490554,0.0017763,0.0003851901,0.000744056,0.03742067,0.0001978142,0.02652244],"genre_scores_gemma":[0.9588271,0.002143897,0.004970047,0.0006346413,0.000204775,0.0004911987,0.02698969,0.0000612032,0.005677298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5723283,"threshold_uncertainty_score":0.8503648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08259396183344157,"score_gpt":0.3986384370080059,"score_spread":0.3160444751745644,"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."}}