{"id":"W4403226777","doi":"10.1016/j.cjca.2024.08.137","title":"VALIDATING ICD-10 CODES FOR IDENTIFYING OUT-OF-HOSPITAL CARDIAC ARRESTS IN AN ADMINISTRATIVE DATABASE","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York Central Hospital","funders":"","keywords":"Medicine; ICD-10; Database; Medical emergency; Diagnosis code; Nursing; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00761923,0.0004382419,0.0007517948,0.003294612,0.001025374,0.001930552,0.001657747,0.0007998823,0.001181268],"category_scores_gemma":[0.03852193,0.0005032216,0.0009492103,0.002775288,0.0004094905,0.0009174092,0.001194625,0.001040978,0.0005957332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001074,"about_ca_system_score_gemma":0.007149907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05916,"about_ca_topic_score_gemma":0.08605651,"domain_scores_codex":[0.9885246,0.002905688,0.002805631,0.001520009,0.003148625,0.001095361],"domain_scores_gemma":[0.9564421,0.01355913,0.01190584,0.003452081,0.01301756,0.001623363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009877235,0.0001290786,0.9938399,0.00005745834,0.0000983338,0.00005460572,0.0001859448,0.0001843249,0.0003699455,0.0001427656,0.001910533,0.002928431],"study_design_scores_gemma":[0.00003337416,0.00008257071,0.9949688,0.00009645278,0.00008672537,0.000153309,0.0006223799,0.001606346,0.0005726233,0.00009884806,0.001664643,0.00001390703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701988,0.000212736,0.002410576,0.0004397441,0.0001112592,0.0005595068,0.02246674,0.00006737111,0.003533325],"genre_scores_gemma":[0.9588535,0.0002574231,0.007514622,0.0004070549,0.00006595504,0.0004343344,0.03191066,0.00002628434,0.0005301809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05916,"threshold_uncertainty_score":0.1176313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06899944253761159,"score_gpt":0.3779373518542496,"score_spread":0.308937909316638,"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."}}