{"id":"W2969218718","doi":"","title":"Charlson Comorbidity Index: <i>ICD-9</i> Update and <i>ICD-10</i> Translation.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":526,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner; Medicine Hat College","funders":"","keywords":"Medicine; ICD-10; Comparability; Comorbidity; Diagnosis code; Charlson comorbidity index; Medical record; Internal medicine; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.003438915,0.0005358073,0.0004602697,0.01013541,0.0007152795,0.000824969,0.001236922,0.0004324567,0.02958991],"category_scores_gemma":[0.02340121,0.0002107046,0.0007315825,0.01236977,0.0003720612,0.0009137392,0.001154106,0.001769913,0.006249234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003242614,"about_ca_system_score_gemma":0.006198471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03942898,"about_ca_topic_score_gemma":0.05172583,"domain_scores_codex":[0.9958955,0.0009793112,0.001346184,0.0002578179,0.001265897,0.0002552421],"domain_scores_gemma":[0.9824686,0.003249457,0.005549402,0.001141946,0.006900689,0.0006899107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002312994,0.0001306635,0.07005766,0.001709467,0.00009647796,0.0001516888,0.0002465766,0.0004116026,0.0004340695,0.004705955,0.8250303,0.09679428],"study_design_scores_gemma":[0.0002820948,0.0001127922,0.5433274,0.003213752,0.0001300308,0.0008572265,0.000534202,0.0019838,0.0008670993,0.004986389,0.443591,0.0001142246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.04124668,0.01164442,0.02256998,0.01383085,0.005407585,0.006151817,0.8279593,0.001848882,0.06934042],"genre_scores_gemma":[0.2076463,0.01096487,0.06580035,0.00606326,0.001523836,0.01160678,0.6758968,0.0005862761,0.01991156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03942898,"threshold_uncertainty_score":0.09898818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586748101747708,"score_gpt":0.3715498495472735,"score_spread":0.2128750393725027,"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."}}