{"id":"W3131535861","doi":"10.1002/hep4.1687","title":"Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity","year":2021,"lang":"en","type":"article","venue":"Hepatology Communications","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Institute for Health and Care Research","keywords":"Medicine; Autoimmune hepatitis; Gastroenterology; Internal medicine; Liver biopsy; Receiver operating characteristic; Magnetic resonance imaging; Stage (stratigraphy); Confidence interval; Liver disease; Alanine aminotransferase; Biopsy; Hepatitis; Radiology","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":[0.00005598127,0.00009402042,0.0002340741,0.00009220587,0.0001266535,0.000007636801,0.0001051256,0.00003816454,0.00007452597],"category_scores_gemma":[0.0001961336,0.00009478465,0.00006845513,0.0002764865,0.0002968799,0.00006387765,0.000202093,0.0001164483,0.000007940333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000513997,"about_ca_system_score_gemma":0.0002039085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003942856,"about_ca_topic_score_gemma":0.00006102222,"domain_scores_codex":[0.9992185,0.0001735307,0.0001930848,0.0001972109,0.00009613056,0.0001215654],"domain_scores_gemma":[0.9983091,0.0002595895,0.00007116647,0.001061812,0.0001729459,0.0001253351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005159796,0.001212718,0.9671322,0.00004004908,0.00003219818,0.00003878622,0.00006708586,1.881067e-7,0.0002614307,0.001447705,0.000269445,0.02944657],"study_design_scores_gemma":[0.001066194,0.00006881634,0.9858078,0.00007078165,0.0003264357,0.00004736958,0.00001737383,0.007524157,0.0002860943,0.0001412603,0.004588486,0.00005526318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649048,0.1288441,0.00004437499,0.00470521,0.00004519357,0.0002920737,0.0002168845,0.00005018212,0.0008972007],"genre_scores_gemma":[0.9732724,0.02437623,0.001728572,0.0001780472,0.000006194314,0.000130548,0.0001561916,0.00000994374,0.0001418099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083676,"threshold_uncertainty_score":0.3865206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445128780742033,"score_gpt":0.2850104893413873,"score_spread":0.260559201533967,"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."}}