{"id":"W4223648779","doi":"10.1016/j.cgh.2022.03.041","title":"A Two-Step Algorithm for the Noninvasive Identification of Candidates for Nonalcoholic Steatohepatitis Clinical Trials: The APRI-FAST","year":2022,"lang":"en","type":"article","venue":"Clinical Gastroenterology and Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Allergan; National Institutes of Health; Valeant Pharmaceuticals International; AbbVie; Novo Nordisk; National Institute of Diabetes and Digestive and Kidney Diseases; Gilead Sciences","keywords":"Medicine; Nonalcoholic steatohepatitis; Fibrosis; Stage (stratigraphy); Internal medicine; Clinical trial; Liver biopsy; Biopsy; Steatohepatitis; Gastroenterology; Algorithm; Nonalcoholic fatty liver disease; Pathology; Fatty liver; Disease; Computer science","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":[0.009512798,0.001999367,0.00335124,0.005788045,0.000952946,0.004414139,0.001686132,0.001902049,0.01800434],"category_scores_gemma":[0.03881032,0.0008947802,0.001908978,0.002105648,0.0005397461,0.00233579,0.002090514,0.003362987,0.005854893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009042409,"about_ca_system_score_gemma":0.004345597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755346,"about_ca_topic_score_gemma":0.004240182,"domain_scores_codex":[0.9936711,0.002752051,0.001216715,0.0009872407,0.001111869,0.000261033],"domain_scores_gemma":[0.9852403,0.008741106,0.001656681,0.0005861275,0.002938422,0.0008373471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007900736,0.00118683,0.08104745,0.001614218,0.001541953,0.0007244103,0.0002152134,0.00986512,0.003411486,0.007228738,0.09860461,0.7866593],"study_design_scores_gemma":[0.01525411,0.006174959,0.1060242,0.002064454,0.003868667,0.01401176,0.0006008793,0.5978622,0.01577581,0.05540827,0.1817858,0.001168865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09738,0.0156978,0.8019148,0.01893558,0.002719843,0.0140652,0.01892568,0.01199704,0.01836414],"genre_scores_gemma":[0.1629912,0.00239385,0.8053566,0.003417546,0.001104793,0.008138374,0.008690168,0.0004745757,0.007432917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01800434,"threshold_uncertainty_score":0.06023049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110737769734675,"score_gpt":0.4393689495321456,"score_spread":0.3286311797974706,"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."}}