{"id":"W4390439601","doi":"10.1007/978-3-031-48974-7_8","title":"Penalties and Rewards for Fair Learning in Paired Kidney Exchange Programs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Computer science; Equity (law); Key (lock); Kidney transplant; Organ donation; Kidney transplantation; Transplantation; Medicine; Computer security; Law; Surgery","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":[0.008018552,0.0008395227,0.001231362,0.0007002331,0.001907974,0.004234001,0.001995299,0.00259101,0.0162298],"category_scores_gemma":[0.04438831,0.0005162656,0.0006880049,0.0007390646,0.003558011,0.005902792,0.002876954,0.005540256,0.0008433303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978557,"about_ca_system_score_gemma":0.00278081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384881,"about_ca_topic_score_gemma":0.002257082,"domain_scores_codex":[0.9943733,0.002873189,0.0002033999,0.0004653407,0.00112943,0.0009553263],"domain_scores_gemma":[0.9691402,0.02524709,0.001261376,0.00152012,0.001138858,0.001692292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003727362,0.0001846813,0.000969509,0.00005756362,0.00001378286,0.00006927024,0.0002034372,0.04261652,0.0002149379,0.8904058,0.005848194,0.05904359],"study_design_scores_gemma":[0.00003272843,0.00009876167,0.0008143146,0.00004813044,0.00001220902,0.0000557604,0.0001545301,0.0878119,0.0002116037,0.9079423,0.002794454,0.00002334516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731194,0.001865602,0.5664963,0.009358994,0.001347343,0.0002861617,0.0002696287,0.0005477769,0.2467088],"genre_scores_gemma":[0.9122041,0.0004232177,0.02740939,0.0003054523,0.0003209711,0.0001854069,0.00006320592,0.000110372,0.0589779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0162298,"threshold_uncertainty_score":0.05429411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302701665497236,"score_gpt":0.273066892497244,"score_spread":0.2400398758422716,"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."}}