{"id":"W2886584202","doi":"10.1515/hmbci-2018-0038","title":"Studying non-alcoholic fatty liver disease: the ins and outs of in vivo, ex vivo and in vitro human models","year":2018,"lang":"en","type":"review","venue":"Hormone Molecular Biology and Clinical Investigation","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Medical Research Council; Biotechnology and Biological Sciences Research Council; Svenska Sällskapet för Medicinsk Forskning; Svenska Läkaresällskapet; British Heart Foundation","keywords":"Fatty liver; In vivo; Ex vivo; Medicine; Human studies; Human disease; Bioinformatics; Disease; Computational biology; Biology; Pathology; Biotechnology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005289663,0.0002769558,0.001091778,0.0001365525,0.00005803436,0.00001305729,0.00007459212,0.0003518165,0.000003640101],"category_scores_gemma":[0.0001460554,0.0001789927,0.0001600341,0.0001468724,0.0008789573,0.00004524028,0.0001503529,0.000298203,0.000001376388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003006682,"about_ca_system_score_gemma":0.0001125137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577194,"about_ca_topic_score_gemma":0.00003622928,"domain_scores_codex":[0.997905,0.0004977865,0.000784816,0.0005387941,0.0000931217,0.0001804779],"domain_scores_gemma":[0.9988797,0.0002888227,0.000275651,0.0002839122,0.00004215172,0.0002297213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001687965,0.005951778,0.4829057,0.01948987,0.00485734,0.001135413,0.002224741,0.000004522157,0.004053872,0.006182674,0.0005500356,0.4709561],"study_design_scores_gemma":[0.01229145,0.003511516,0.9234533,0.01779278,0.01347699,0.00004472079,0.0001411226,0.001918894,0.0006320583,0.01875125,0.006477646,0.0015083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4258778,0.573144,0.00001312891,0.00007284677,0.00001692621,0.0008066194,0.0000381632,0.000004645337,0.00002583802],"genre_scores_gemma":[0.3622555,0.6372218,0.00006744343,0.0002085277,0.00003622887,0.00009185506,0.00009913812,0.00001340594,0.000006059956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4694479,"threshold_uncertainty_score":0.7299111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124209248088953,"score_gpt":0.4052144885673249,"score_spread":0.2927935637584296,"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."}}