{"id":"W4408977652","doi":"10.1097/txd.0000000000001774","title":"Machine Learning Prediction Model of Waitlist Outcomes in Patients with Primary Sclerosing Cholangitis","year":2025,"lang":"en","type":"article","venue":"Transplantation Direct","topic":"Liver Diseases and Immunity","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Concordance; Medicine; Model for End-Stage Liver Disease; Liver transplantation; Liver disease; Internal medicine; United Network for Organ Sharing; Primary sclerosing cholangitis; Waiting list; Transplantation; 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":[0.00006098582,0.00007428453,0.0001803926,0.0001299291,0.0000407354,0.000006310582,0.00002754003,0.00002911993,0.00001220705],"category_scores_gemma":[0.000009209691,0.00005998741,0.00003681947,0.0001419973,0.00002240038,0.0001179176,0.000003725588,0.0001057933,7.093932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004586997,"about_ca_system_score_gemma":0.0000453443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002150255,"about_ca_topic_score_gemma":0.00001406987,"domain_scores_codex":[0.9994735,0.00003322134,0.0001688219,0.0001018811,0.0001413515,0.00008121408],"domain_scores_gemma":[0.9997756,0.00003255252,0.00004167337,0.00007488513,0.00005076333,0.00002446399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000762829,0.0002250657,0.9936749,0.0003383597,0.00004965035,0.000001029772,0.0003152637,0.002537906,0.0005975464,0.00001751477,0.000004014311,0.001475969],"study_design_scores_gemma":[0.003637352,0.0001153814,0.9888943,0.0004370438,0.000173568,2.593455e-7,0.00001322649,0.0059891,0.000681554,0.000006701144,0.000004418243,0.00004713553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934834,0.00007743498,0.0006123768,0.00003353381,0.00002793315,0.0002229976,0.0001659551,0.0000437646,0.005332591],"genre_scores_gemma":[0.9985276,0.000169403,0.0002630672,0.00007245414,0.00000277446,0.000006844488,0.0006470678,0.000007782354,0.0003030317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005044161,"threshold_uncertainty_score":0.2446216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113483433648313,"score_gpt":0.2274404931090327,"score_spread":0.2163056587725496,"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."}}