{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003545674,0.000731072,0.0006754327,0.0009810569,0.0002991648,0.0005306218,0.0006519802,0.0006856086,0.001636972],"category_scores_gemma":[0.008093742,0.0002360946,0.0006999049,0.0005357147,0.0002693723,0.0004121786,0.0003190469,0.001010141,0.0003973998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008587738,"about_ca_system_score_gemma":0.001200637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028071,"about_ca_topic_score_gemma":0.01101127,"domain_scores_codex":[0.9994218,0.000269408,0.0000409054,0.0001206878,0.0000563572,0.00009092672],"domain_scores_gemma":[0.9949609,0.003624979,0.0004047323,0.0001451716,0.0006872021,0.0001770306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007664658,0.0006241873,0.4391658,0.00004514643,0.0003449839,0.0002649943,0.0001133195,0.5068628,0.0004248193,0.0004046389,0.002876231,0.04810658],"study_design_scores_gemma":[0.00002604203,0.0001043766,0.02148979,0.000009382913,0.00002941651,0.00004521706,0.00001942407,0.9775889,0.0001101632,0.0004808786,0.00008890424,0.000007513979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743798,0.0003171907,0.02258754,0.000746397,0.00006121283,0.00006191326,0.0009764284,0.0002451577,0.0006244521],"genre_scores_gemma":[0.9942304,0.00006289373,0.004270507,0.00005450904,0.00002444715,0.00005354097,0.0009017169,0.000006753766,0.0003952378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028071,"threshold_uncertainty_score":0.04032534,"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."}}