{"id":"W2174373014","doi":"10.1093/intqhc/mzv037","title":"Capturing diagnosis-timing in ICD-coded hospital data: recommendations from the WHO ICD-11 topic advisory group on quality and safety","year":2015,"lang":"en","type":"article","venue":"International Journal for Quality in Health Care","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates; Canadian Patient Safety Institute","keywords":"Medicine; Coding (social sciences); Data quality; Quality (philosophy); Kappa; Patient safety; Reliability (semiconductor); Medical emergency; Health care; Operations management; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4656588,0.002969035,0.004697219,0.01402852,0.005269828,0.01310724,0.01781465,0.0241935,0.002403311],"category_scores_gemma":[0.4920587,0.002765779,0.007084252,0.01040268,0.01318061,0.01473345,0.01374359,0.03738993,0.003589984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01293416,"about_ca_system_score_gemma":0.09194288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04094158,"about_ca_topic_score_gemma":0.02099806,"domain_scores_codex":[0.6605138,0.172542,0.08268455,0.008979743,0.06595836,0.009321578],"domain_scores_gemma":[0.2362242,0.3619561,0.0537761,0.02785075,0.3044496,0.01574328],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003946471,0.0005468598,0.0154787,0.01379009,0.0004557921,0.0003819304,0.008854508,0.002575836,0.001038102,0.03470428,0.6101021,0.3116772],"study_design_scores_gemma":[0.0005871255,0.000608919,0.02380266,0.1261882,0.001098579,0.0006413701,0.01394547,0.007602953,0.002576156,0.06960296,0.752588,0.0007575222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002058678,0.02321822,0.05466731,0.8872536,0.020207,0.003313829,0.001717182,0.0005290749,0.007035152],"genre_scores_gemma":[0.04188117,0.05433231,0.5066293,0.3493419,0.01766027,0.01541947,0.008833103,0.0007917709,0.00511067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5343412,"threshold_uncertainty_score":0.6589378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4671506435227641,"score_gpt":0.5607526430189377,"score_spread":0.0936019994961736,"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."}}