{"id":"W3035796355","doi":"10.1007/s12072-020-10065-7","title":"Development and validation of a clinical and laboratory-based nomogram to predict nonalcoholic fatty liver disease","year":2020,"lang":"en","type":"article","venue":"Hepatology International","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Medicine; Nonalcoholic fatty liver disease; Internal medicine; Receiver operating characteristic; Fatty liver; Body mass index; Gastroenterology; Steatosis; Nomogram; Logistic regression; Uric acid; Disease","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":[0.01315153,0.00114551,0.001395894,0.004408545,0.0007786627,0.003477122,0.001064334,0.001347585,0.001231862],"category_scores_gemma":[0.02122018,0.0003935746,0.001042953,0.001616057,0.0006433278,0.001748164,0.001467539,0.001103214,0.0007844674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006244295,"about_ca_system_score_gemma":0.001224709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065868,"about_ca_topic_score_gemma":0.001523937,"domain_scores_codex":[0.9958245,0.001824534,0.000514144,0.0004740267,0.001120579,0.0002421724],"domain_scores_gemma":[0.9859895,0.006764073,0.001284666,0.0009891571,0.004350202,0.0006223982],"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":[0.002288442,0.0007425431,0.8243551,0.0002149699,0.0006000734,0.0002683994,0.0002492643,0.008082201,0.004800784,0.0008312425,0.003973518,0.1535934],"study_design_scores_gemma":[0.0006951698,0.003708962,0.684008,0.000350319,0.001337316,0.003005701,0.001035879,0.274433,0.01140813,0.003418796,0.01638261,0.0002160609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126343,0.003858976,0.06935512,0.001090423,0.0006513963,0.0009124239,0.002191981,0.0006198228,0.008685689],"genre_scores_gemma":[0.9632955,0.0005319799,0.03282984,0.000195801,0.0001797532,0.0003796863,0.001685701,0.00005135091,0.0008504647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01315153,"threshold_uncertainty_score":0.06955278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05780831964456143,"score_gpt":0.3438658946442775,"score_spread":0.2860575749997161,"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."}}