{"id":"W4408104635","doi":"10.1016/j.ejor.2025.02.014","title":"Adaptation, comparison and practical implementation of fairness schemes in Kidney Exchange Programs","year":2025,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Google","keywords":"Adaptation (eye); Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002526936,0.00005235161,0.0001414762,0.0004704206,0.00005722635,0.00004381158,0.00004123554,0.00001654794,0.0001533006],"category_scores_gemma":[0.0004389442,0.0000447546,0.00002372147,0.0003901722,0.00008209014,0.0002236106,0.00001855907,0.0002772539,0.000004509775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900135,"about_ca_system_score_gemma":0.0006021317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001344095,"about_ca_topic_score_gemma":0.00002234289,"domain_scores_codex":[0.9982221,0.0004878492,0.0005065948,0.00009167892,0.00058878,0.000102975],"domain_scores_gemma":[0.9985801,0.0001339179,0.00009665149,0.00005164099,0.001047241,0.00009047193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002485282,0.001739315,0.6722917,0.001347448,0.0003054933,0.0004525437,0.01215007,0.0001066257,0.02424722,0.05516281,0.007205135,0.2225064],"study_design_scores_gemma":[0.007366685,0.001188577,0.9538922,0.0008236236,0.00005046968,0.000164317,0.006795755,0.001856208,0.0108014,0.0001713453,0.01680009,0.00008936429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965425,0.0003901589,0.012789,0.01719231,0.00009081493,0.0004915477,0.0000070027,0.000005960349,0.003608199],"genre_scores_gemma":[0.9934648,0.0001716262,0.005918769,0.0001388094,0.0000559599,0.000002783041,0.00004324575,0.00000698115,0.0001970722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816005,"threshold_uncertainty_score":0.1825039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157876204448473,"score_gpt":0.4846115587773301,"score_spread":0.3267353543288571,"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."}}