{"id":"W2157007424","doi":"10.1109/jsac.2012.121203","title":"Local Public Good Provisioning in Networks: A Nash Implementation Mechanism","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Nash equilibrium; Computer science; Resource allocation; Game theory; Resource management (computing); Provisioning; Computer network; Distributed computing; Microeconomics; Economics","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":[0.004673204,0.000508244,0.0007213885,0.0007650174,0.00120234,0.002770349,0.001749676,0.001694598,0.003276689],"category_scores_gemma":[0.007776378,0.0004110247,0.0006585455,0.0007502893,0.003230981,0.004979044,0.002348595,0.001347676,0.0003960968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022008,"about_ca_system_score_gemma":0.001956195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057617,"about_ca_topic_score_gemma":0.001012993,"domain_scores_codex":[0.9960503,0.002427736,0.0001061099,0.0004718803,0.0005777027,0.0003663112],"domain_scores_gemma":[0.9960769,0.002287345,0.0006572326,0.0004726025,0.0003085959,0.0001973713],"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":[0.0001024563,0.0001379113,0.0006121035,0.00008978254,0.00005660543,0.0001469214,0.0003230693,0.09864837,0.001747628,0.8802653,0.001035745,0.01683419],"study_design_scores_gemma":[0.000155,0.0001166749,0.0002643247,0.00005073597,0.0000405107,0.0001317904,0.0001682799,0.4055684,0.001853905,0.584962,0.006646708,0.00004173774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05784471,0.0001979479,0.9143918,0.001616624,0.00004535044,0.0002239714,0.00003777639,0.0001824789,0.02545926],"genre_scores_gemma":[0.8932668,0.0002550258,0.09835872,0.0003034149,0.00006800827,0.0004467592,0.00002374391,0.00003963423,0.007237827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004673204,"threshold_uncertainty_score":0.02471453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127013925832921,"score_gpt":0.4250878217861445,"score_spread":0.2980738959532235,"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."}}