{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005539578,0.0009304349,0.001060228,0.0009384007,0.001960013,0.005123987,0.001791569,0.002111079,0.01323656],"category_scores_gemma":[0.02499321,0.0007328106,0.0009166643,0.001771669,0.004176697,0.007785382,0.003210515,0.002649585,0.001039804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116438,"about_ca_system_score_gemma":0.002842685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240027,"about_ca_topic_score_gemma":0.002479012,"domain_scores_codex":[0.992603,0.003069406,0.0003761986,0.001517385,0.001524055,0.0009100131],"domain_scores_gemma":[0.9913044,0.004696731,0.0006335586,0.002386527,0.0007047819,0.0002741112],"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":[0.00002255799,0.00001591163,0.0001010999,0.00003281197,0.00001258718,0.00001767857,0.00007757656,0.01676786,0.0002856674,0.972967,0.001149816,0.008549514],"study_design_scores_gemma":[0.00001278457,0.00000663373,0.00006199995,0.00001925239,0.000005798051,0.0000177416,0.00002492856,0.02985858,0.0002682205,0.9649322,0.00478546,0.000006488607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03750405,0.0008216145,0.8718245,0.002674797,0.0001552863,0.0001760668,0.0005007392,0.0002311798,0.08611179],"genre_scores_gemma":[0.7538691,0.000884257,0.2198376,0.0008310998,0.0003255554,0.0006121455,0.0004201629,0.000202221,0.02301772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01323656,"threshold_uncertainty_score":0.04428071,"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."}}