{"id":"W2018983979","doi":"10.1186/1472-6963-8-12","title":"Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases","year":2008,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":345,"is_retracted":false,"has_abstract":true,"ca_institutions":"South Health Campus; Provincial Health Services Authority; University of Calgary; Alberta Health Services","funders":"Canadian Institutes of Health Research; Health Canada; Ministry of Health, British Columbia; Fondation pour la Recherche Médicale","keywords":"Medicine; ICD-10; Health administration; Health informatics; Nursing research; Quality of Life Research; Database; Emergency medicine; Public health; Medical emergency; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02214275,0.0006211515,0.0008114123,0.003666142,0.0006295008,0.002407326,0.001451989,0.0003968229,0.0009476828],"category_scores_gemma":[0.08511096,0.0002696706,0.001518134,0.004265266,0.0003126265,0.0008517989,0.001347934,0.0007574676,0.000222938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004380072,"about_ca_system_score_gemma":0.005702251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1993614,"about_ca_topic_score_gemma":0.1231053,"domain_scores_codex":[0.9823629,0.00764183,0.00218116,0.002345876,0.004333733,0.001134468],"domain_scores_gemma":[0.9531525,0.02469015,0.00746853,0.003924872,0.009456105,0.001307823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004546146,0.0000496074,0.9824675,0.00005509266,0.0007738132,0.00002785872,0.00009870408,0.004059869,0.0001036407,0.0002168329,0.001006817,0.0106855],"study_design_scores_gemma":[0.00006134935,0.00009562144,0.9663749,0.00004987415,0.0002734973,0.00008075203,0.0001585014,0.03154189,0.0003619611,0.0002866724,0.000687051,0.00002778327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790151,0.001235802,0.005667376,0.0004583615,0.00007386933,0.000205419,0.01017758,0.000204901,0.002961691],"genre_scores_gemma":[0.9900587,0.0001351155,0.003721788,0.00005699054,0.00001715945,0.00006412905,0.005748695,0.00001736099,0.0001801074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1993614,"threshold_uncertainty_score":0.3964021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4268680489924949,"score_gpt":0.5499640113109536,"score_spread":0.1230959623184588,"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."}}