{"id":"W4409364637","doi":"10.1609/aaai.v39i13.33499","title":"Constrained Fair and Efficient Allocations","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of 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":[],"consensus_categories":[],"category_scores_codex":[0.0006796517,0.000122793,0.0002478808,0.0001502773,0.0001647816,0.00009566594,0.0004018682,0.0000670732,0.00008681885],"category_scores_gemma":[0.0005197704,0.0001081957,0.00006630406,0.0003611105,0.0003388022,0.00005735648,0.00009642884,0.0001479158,0.00009341316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615092,"about_ca_system_score_gemma":0.00002812137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004367024,"about_ca_topic_score_gemma":0.000004202409,"domain_scores_codex":[0.9989052,0.000006374331,0.0005605277,0.0003043967,0.00004401524,0.0001795074],"domain_scores_gemma":[0.9992808,0.00008015679,0.0003092575,0.0001438135,0.0001481591,0.00003780531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001916701,0.00006376789,0.001754534,0.00004659812,0.00001474894,3.797482e-8,0.0005254928,0.00005086881,0.001898112,0.9933638,0.00005205482,0.002210798],"study_design_scores_gemma":[0.00005477158,0.00007909838,0.001948051,0.0003340368,0.00001204487,0.000002100553,0.001670928,0.02768922,0.05606051,0.9112881,0.0006457807,0.0002153331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8056579,0.0001628314,0.004711685,0.004688052,0.0005901903,0.0004763436,0.0000307781,0.00005615057,0.1836261],"genre_scores_gemma":[0.9982835,0.00001619201,0.0001459336,0.0001436082,0.00002281963,0.00001914171,3.45234e-7,0.000005963997,0.001362498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926256,"threshold_uncertainty_score":0.4412094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06781769022624423,"score_gpt":0.2685872073139395,"score_spread":0.2007695170876953,"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."}}