{"id":"W3214291775","doi":"10.1016/j.healun.2021.11.002","title":"Geographic disparities in lung transplantation in the United States before and after the November 2017 allocation change","year":2021,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Columbia University; Boomer Esiason Foundation; National Institutes of Health; Cystic Fibrosis Foundation","keywords":"Lung transplantation; Geography; Transplantation; Demography; Medicine; Intensive care medicine; Sociology; Internal medicine","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":[0.0008352976,0.0001301383,0.000233964,0.0007289814,0.0005390646,0.001221678,0.0004344288,0.00074645,0.001897311],"category_scores_gemma":[0.004034761,0.0001230468,0.000523151,0.002420294,0.0006782105,0.001363573,0.001324153,0.0009942775,0.000157965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446774,"about_ca_system_score_gemma":0.002047265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1098593,"about_ca_topic_score_gemma":0.1580824,"domain_scores_codex":[0.9987596,0.0002925135,0.0001106092,0.0001763949,0.0001540303,0.0005068168],"domain_scores_gemma":[0.9973705,0.0003373896,0.001371293,0.0001334789,0.0003117206,0.0004755538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002237289,0.00009005779,0.9905339,0.00003322049,0.00009613565,0.00007427136,0.0006527337,0.0002094813,0.00007943746,0.0008695214,0.002186264,0.004951188],"study_design_scores_gemma":[0.000007807028,0.00002970195,0.9961646,0.00002768566,0.00002395457,0.00003975155,0.001965385,0.0001168452,0.00005123743,0.0002185022,0.001347058,0.000007594578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918772,0.0009031078,0.00007738526,0.00350852,0.0001100954,0.000008003297,0.001706725,0.000004226856,0.001804742],"genre_scores_gemma":[0.9978281,0.0003078513,0.00003305521,0.0003524343,0.00008347116,0.000008148046,0.001013794,0.000003674949,0.0003694984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098593,"threshold_uncertainty_score":0.2184396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202830383691242,"score_gpt":0.3069920399871592,"score_spread":0.2849637361502468,"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."}}