{"id":"W3007368592","doi":"10.1371/journal.pone.0229218","title":"Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Southeastern Ontario Academic Medical Organization; Ontario Ministry of Health and Long-Term Care; American Association for the Study of Liver Diseases","keywords":"Medicine; Cirrhosis; Etiology; Liver disease; Algorithm; Diagnosis code; Chronic liver disease; Alcoholic liver disease; Population; Internal medicine; Health care; Hepatology; Hepatitis B; Gastroenterology; Environmental health; Computer science","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":[0.04987158,0.001152464,0.001139494,0.006214998,0.001305065,0.002842369,0.001902232,0.00115384,0.001178106],"category_scores_gemma":[0.1134653,0.0005618955,0.001828555,0.003864406,0.0008700491,0.001435369,0.00276058,0.00125068,0.0004628407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725789,"about_ca_system_score_gemma":0.007086601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03038933,"about_ca_topic_score_gemma":0.02750785,"domain_scores_codex":[0.9621827,0.02208622,0.004962418,0.003971396,0.005554799,0.001242519],"domain_scores_gemma":[0.8923965,0.06266314,0.01266724,0.006473328,0.02448653,0.001313255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005748281,0.0002466594,0.9416975,0.000200574,0.0006568726,0.00009252551,0.0005376348,0.01421226,0.0006855736,0.0009370098,0.002767724,0.03739086],"study_design_scores_gemma":[0.0004585338,0.0005922402,0.44686,0.0004218285,0.0004921324,0.000448752,0.001113139,0.538417,0.002860343,0.003871542,0.004367216,0.00009726328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787702,0.0008322698,0.1883847,0.0009943673,0.0001722893,0.006094925,0.008102835,0.001233909,0.00648275],"genre_scores_gemma":[0.8091555,0.0001129251,0.1829308,0.0002028645,0.00003794004,0.001339177,0.005850218,0.00005941626,0.0003112637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04987158,"threshold_uncertainty_score":0.2637492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1822584233337453,"score_gpt":0.3322494384462673,"score_spread":0.1499910151125219,"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."}}