{"id":"W2899096630","doi":"10.1002/hep.30343","title":"Letter to Editor: Using Proper Methods to Identify Patients With Cirrhosis in Administrative Databases Is Crucial to Correctly Predict Outcomes","year":2018,"lang":"en","type":"letter","venue":"Hepatology","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Cirrhosis; Decompensation; Hepatic encephalopathy; Ascites; Context (archaeology); Database; Intensive care medicine; Internal medicine; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007650883,0.001142674,0.001884876,0.001380683,0.001407334,0.003894763,0.003392231,0.01243512,0.007559656],"category_scores_gemma":[0.0837625,0.0007789896,0.0009017299,0.001129092,0.001954812,0.003853642,0.00106643,0.01619948,0.006935895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665972,"about_ca_system_score_gemma":0.003311691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724452,"about_ca_topic_score_gemma":0.002027097,"domain_scores_codex":[0.9955674,0.001654181,0.0007892363,0.000626881,0.001103083,0.000259145],"domain_scores_gemma":[0.9554152,0.02187509,0.003143425,0.001142739,0.01587256,0.002551033],"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":[0.00004593311,0.00001586392,0.0006781,0.0001162087,0.00002614004,0.0002628301,0.00004360924,0.00004773154,0.00002398976,0.0003061464,0.9909723,0.007461291],"study_design_scores_gemma":[0.0003918648,0.0001768955,0.004591621,0.001969155,0.0001787642,0.003994587,0.0007667831,0.002032122,0.0006878845,0.005942775,0.9790896,0.0001778594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0006855495,0.002088789,0.0004205864,0.830316,0.165116,0.00003007583,0.0002503851,0.0001083582,0.0009841042],"genre_scores_gemma":[0.009005167,0.003977978,0.0007768341,0.5616776,0.4211076,0.00008445556,0.0001443016,0.0001006382,0.003125396],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9923491,"threshold_uncertainty_score":0.0404622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07740793809068057,"score_gpt":0.4137303264591931,"score_spread":0.3363223883685125,"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."}}