{"id":"W4322724561","doi":"10.1016/j.compbiomed.2023.106692","title":"The nonalcoholic fatty liver risk in prediction of unfavorable outcome after stroke: A nationwide registry analysis","year":2023,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; China Academy of Chinese Medical Sciences; Capital Health","keywords":"Medicine; Nonalcoholic fatty liver disease; Internal medicine; Odds ratio; Fatty liver; Stroke (engine); Steatosis; Prospective cohort study; Modified Rankin Scale; Disease; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003238624,0.0003454961,0.0007280653,0.001321307,0.0004946304,0.0009814692,0.0006084174,0.0005104532,0.0009653544],"category_scores_gemma":[0.004013853,0.0004705653,0.00133939,0.002940034,0.0002817417,0.0009202794,0.0009416838,0.0008301831,0.0003090632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582307,"about_ca_system_score_gemma":0.0009655907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006099447,"about_ca_topic_score_gemma":0.008735782,"domain_scores_codex":[0.9979163,0.0007148273,0.0004334977,0.0004826748,0.0002686122,0.0001841557],"domain_scores_gemma":[0.996302,0.0006083557,0.00150054,0.0007342126,0.0004664643,0.0003883138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001944446,0.00003454171,0.9985307,0.00001154979,0.0002110376,0.00004369877,0.00002045186,0.00004978405,0.00004859548,0.00001320448,0.0001007669,0.0007410725],"study_design_scores_gemma":[0.00002704674,0.00006592859,0.998473,0.000006788837,0.000377176,0.000126413,0.00008581841,0.0006157801,0.00003052707,0.00002661092,0.0001580703,0.000006833417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977724,0.0004597129,0.0002359985,0.00006888217,0.00001106289,0.0000201179,0.001102925,0.000008285491,0.0003205221],"genre_scores_gemma":[0.9975529,0.0002932975,0.0002064769,0.00003140035,0.00002433559,0.0000381618,0.00176707,0.000005146283,0.00008113294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006099447,"threshold_uncertainty_score":0.01712763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254068550287858,"score_gpt":0.3171677056907751,"score_spread":0.2946270201878965,"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."}}