{"id":"W4403487670","doi":"10.1097/hep.0000000000001074","title":"Boosting Success: Optimizing Thiopurine Therapy in Autoimmune Hepatitis With Allopurinol","year":2024,"lang":"en","type":"article","venue":"Hepatology","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Thiopurine methyltransferase; Allopurinol; Boosting (machine learning); Medicine; Autoimmune hepatitis; Intensive care medicine; Hepatitis; Azathioprine; Internal medicine; Artificial intelligence; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122845,0.0001751116,0.0003655747,0.0001908038,0.00006613357,0.00003379848,0.0001072987,0.00009559128,0.0004436556],"category_scores_gemma":[0.000026659,0.0001321677,0.00007460808,0.0003092386,0.0000939766,0.0001398609,0.00006512203,0.0003642073,0.00005375008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008440057,"about_ca_system_score_gemma":0.00021452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162473,"about_ca_topic_score_gemma":0.0001507752,"domain_scores_codex":[0.9988591,0.00007555936,0.0002682926,0.0002916866,0.0001354661,0.0003698813],"domain_scores_gemma":[0.9994393,0.00009601744,0.00003731166,0.0002996415,0.00004914524,0.00007860182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002847272,0.0001590181,0.9824463,0.0001879657,0.0001426745,0.002018372,0.0005783795,0.00000813539,0.0008813525,0.0009225559,0.0002207447,0.01214982],"study_design_scores_gemma":[0.003187119,0.001332643,0.9583623,0.0009247915,0.000115528,0.001319175,0.0001951851,0.01837958,0.00205685,0.0001515682,0.01358278,0.0003924241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839354,0.009578732,0.0001119996,0.001788226,0.0002031988,0.0003104398,0.00000525946,0.0002223024,0.003844499],"genre_scores_gemma":[0.9944373,0.003418223,0.0008826122,0.0006209378,0.000065162,0.00004895495,0.00003589516,0.0000367777,0.000454116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02408389,"threshold_uncertainty_score":0.5389641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813330487900294,"score_gpt":0.2723063309330911,"score_spread":0.2541730260540881,"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."}}