{"id":"W1993861490","doi":"10.1186/1472-6963-12-149","title":"Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?","year":2012,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Saskatchewan; University of Calgary","funders":"","keywords":"Medicine; Hospital discharge; ICD-10; Medical diagnosis; Diagnosis code; Health administration; Health informatics; Comorbidity; Demography; Public health; Case mix index; Emergency medicine; Pediatrics; Medical emergency; Population; Environmental health; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01088752,0.0001512984,0.0004343394,0.0003386052,0.0009800337,0.00002024658,0.0006534256,0.0001567843,0.001714735],"category_scores_gemma":[0.0002359378,0.0001291137,0.00001977816,0.0008483136,0.00005164466,0.000868637,0.0004298422,0.001185865,0.0001450531],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985211,"about_ca_system_score_gemma":0.02235466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.941417,"about_ca_topic_score_gemma":0.9792614,"domain_scores_codex":[0.9928312,0.001963289,0.00130276,0.0002717193,0.001530578,0.0021005],"domain_scores_gemma":[0.9959775,0.001198116,0.0005554593,0.0007535958,0.0004711091,0.001044274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009298067,0.00007911299,0.9235758,0.01078614,0.0000077092,4.071236e-7,0.02682783,0.000001071492,0.000008121481,0.0002269279,0.03576216,0.002631766],"study_design_scores_gemma":[0.001392014,0.0001551753,0.8333015,0.0006661615,0.000002485976,3.187776e-7,0.1066894,0.003022276,0.00001385572,0.00001269485,0.0546306,0.0001134443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573364,0.0006425751,0.0001489522,0.03658897,0.0007558424,0.003182572,0.0007315287,0.00003725977,0.000575913],"genre_scores_gemma":[0.9951,0.0002442018,0.00035996,0.002242024,0.0003764638,0.0001728581,0.001315676,0.00002138802,0.0001674046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09027422,"threshold_uncertainty_score":0.9991978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4231992850677317,"score_gpt":0.5760416198511077,"score_spread":0.1528423347833759,"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."}}