{"id":"W3082299949","doi":"10.1097/md.0000000000021463","title":"Validating candidate biomarkers for different stages of non-alcoholic fatty liver disease","year":2020,"lang":"en","type":"article","venue":"Medicine","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Obesity Network","funders":"King Abdulaziz City for Science and Technology","keywords":"Medicine; Fatty liver; Steatosis; Biomarker; Internal medicine; Candidate gene; Gastroenterology; Cirrhosis; Fibrosis; Population; Disease; Stage (stratigraphy); Pathology; Gene; Biology; Genetics","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":[0.001030617,0.0005696215,0.0004202358,0.0008567994,0.0002184255,0.0005727979,0.0002097207,0.0004836801,0.0008996418],"category_scores_gemma":[0.001548394,0.0001690754,0.0004625348,0.0006150687,0.0002063441,0.0003018631,0.0003027817,0.0003514359,0.0002853332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007808,"about_ca_system_score_gemma":0.0001653194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006540917,"about_ca_topic_score_gemma":0.001305983,"domain_scores_codex":[0.9996019,0.0001164001,0.00006414067,0.00007515743,0.00009075457,0.00005162392],"domain_scores_gemma":[0.9989748,0.0001817961,0.0004768169,0.00004649856,0.0002486088,0.00007148166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001041246,0.00009611472,0.9641797,0.0001822838,0.0001284206,0.0001774494,0.0001542683,0.0002004668,0.02123545,0.00004998139,0.0001473247,0.01240738],"study_design_scores_gemma":[0.00004142204,0.001092302,0.978383,0.00007706626,0.0002256077,0.0009661192,0.0005872403,0.001754807,0.01510113,0.0001635013,0.00158654,0.00002124588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957125,0.002255822,0.001166514,0.00006544043,0.00002436498,0.00004139717,0.0002776471,0.00001256873,0.0004437244],"genre_scores_gemma":[0.9952633,0.000722043,0.00297116,0.00007505987,0.00001852558,0.0000441314,0.0004357804,0.000003829227,0.0004661536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030617,"threshold_uncertainty_score":0.005450547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166693808691559,"score_gpt":0.3092261237508445,"score_spread":0.2675591856639289,"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."}}