{"id":"W2091484735","doi":"10.1016/j.jda.2005.06.009","title":"Utilitarian resource assignment","year":2005,"lang":"en","type":"article","venue":"Journal of Discrete Algorithms","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Nash equilibrium; Social cost; Price of anarchy; Mathematical optimization; Resource allocation; Resource (disambiguation); Mathematical economics; Computer science; Best response; Game theory; Total cost; Mathematics; Economics; Microeconomics; Price of stability","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003871377,0.0001084321,0.0002634647,0.000184455,0.0001421551,0.0001405315,0.0008905581,0.00005270566,0.0009790992],"category_scores_gemma":[0.0005879438,0.00006911154,0.0002267075,0.0003814706,0.000104862,0.0003989671,0.00007964522,0.0002484182,0.000363205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005293764,"about_ca_system_score_gemma":0.00006165825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001913239,"about_ca_topic_score_gemma":0.000002357485,"domain_scores_codex":[0.9972399,0.0002062315,0.0009275855,0.000182705,0.001241556,0.0002019477],"domain_scores_gemma":[0.9979689,0.0005789661,0.0005660478,0.0004366483,0.0002285133,0.0002209959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001120626,0.0002458326,0.0006176457,0.000001727622,0.00008132419,0.000028577,0.001740834,0.001988017,0.0015879,0.01704131,0.07518918,0.9013656],"study_design_scores_gemma":[0.0005232893,0.0001890658,0.003696919,0.00001765297,0.00002935153,0.0001401854,0.001999313,0.002318281,0.001487379,0.05958063,0.9298817,0.0001362662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3170391,0.002511052,0.4633009,0.08035433,0.00101213,0.0005269457,0.00009568566,0.00007086992,0.135089],"genre_scores_gemma":[0.9772407,0.00001343945,0.01701386,0.0004358249,0.0007775988,0.000002378594,8.530143e-7,0.000009321798,0.004505956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9012293,"threshold_uncertainty_score":0.9999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07711950346725295,"score_gpt":0.3923227084512995,"score_spread":0.3152032049840465,"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."}}