{"id":"W4294990222","doi":"10.5281/zenodo.4573995","title":"Individual Fairness in Kidney Exchange Programs","year":2021,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Institut de Valorisation des Données; Compute Canada","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005109744,0.0002681956,0.0003801266,0.0006336548,0.0005977203,0.0006396939,0.0005197853,0.0002926939,0.08881462],"category_scores_gemma":[0.0002890689,0.0002914036,0.00009612241,0.001055397,0.0001246688,0.0001662013,0.0004237373,0.0007489715,0.032616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002416645,"about_ca_system_score_gemma":0.00003801739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002531479,"about_ca_topic_score_gemma":0.000001512658,"domain_scores_codex":[0.997473,0.0003553097,0.0004107713,0.00062181,0.0007068672,0.0004322243],"domain_scores_gemma":[0.998414,0.00001543376,0.0001485422,0.0004311027,0.0006462906,0.0003446103],"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":[0.0001528852,0.0005993493,0.00001749859,0.001577611,0.0001555514,0.0001922793,0.002598607,0.000004313641,0.0004963341,0.0003623163,0.8816446,0.1121987],"study_design_scores_gemma":[0.001963146,0.0002498087,0.00113781,0.0006161296,0.00007672777,0.0003195161,0.0003081907,0.00002525493,0.0003685707,0.00001137751,0.9946532,0.0002702754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.006084237,0.001572503,0.001634686,0.003716775,0.00119173,0.002669684,0.002438281,0.0009242031,0.9797679],"genre_scores_gemma":[0.258408,0.005116401,0.0007134288,0.002704701,0.001906757,0.000001092154,0.5067536,0.008378339,0.2160177],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7637503,"threshold_uncertainty_score":0.9999538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377954364077313,"score_gpt":0.2834166722590045,"score_spread":0.2296371286182313,"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."}}