{"id":"W4310709720","doi":"10.1111/petr.14283","title":"State of pediatric liver transplantation in the United States and achieving zero wait list mortality with ideal outcomes: A statement from the Starzl Network for Excellence in Pediatric Transplant Surgeon's Working Group","year":2022,"lang":"en","type":"article","venue":"Pediatric Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Excellence; Liver transplantation; Waiting list; Transplantation; Intensive care medicine; United Network for Organ Sharing; Quality of life (healthcare); Surgery; Nursing","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":[0.01652182,0.0005526833,0.0005355143,0.001023416,0.001364277,0.004042258,0.001408821,0.003936652,0.001671482],"category_scores_gemma":[0.02401725,0.0003096862,0.0008096398,0.0009570865,0.002471008,0.003131011,0.003519928,0.007454534,0.0003954483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003693174,"about_ca_system_score_gemma":0.02977106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313763,"about_ca_topic_score_gemma":0.0161705,"domain_scores_codex":[0.992985,0.001323717,0.001457869,0.0004135511,0.00297286,0.00084701],"domain_scores_gemma":[0.9759011,0.0075227,0.003262804,0.0004690992,0.006863895,0.005980493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036366,0.0001750508,0.05675462,0.000929341,0.00007002788,0.0007720068,0.001918825,0.001102239,0.0007606894,0.06140412,0.6841282,0.1918813],"study_design_scores_gemma":[0.00005095472,0.0001899616,0.06111535,0.00458359,0.0001331238,0.001521294,0.003076944,0.00133907,0.001278244,0.01614266,0.9104512,0.0001176668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.007498617,0.03320323,0.002142955,0.9318282,0.008911778,0.00005848406,0.0005730228,0.00008431509,0.01569946],"genre_scores_gemma":[0.3770152,0.2044924,0.03852179,0.3341008,0.02840841,0.0008126582,0.003893176,0.0002756745,0.01247993],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01652182,"threshold_uncertainty_score":0.08737683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299620396070572,"score_gpt":0.2611427760170504,"score_spread":0.2381465720563447,"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."}}