{"id":"W11899514","doi":"10.1007/978-1-4614-7079-3_2","title":"Decentralized Optimal Resource Allocation","year":2013,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quality of service; Resource allocation; Computer science; Computer network; Resource management (computing); Exploit; Wireless network; Radio resource management; Resource (disambiguation); Distributed computing; Wireless; Telecommunications; Computer security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001297291,0.0004397804,0.000428379,0.0008370296,0.0003069332,0.00119272,0.004201443,0.0002308671,0.0002894355],"category_scores_gemma":[0.00004411936,0.0004521894,0.0001153797,0.0005897496,0.0007021586,0.001406053,0.001995552,0.0006176492,0.0005920022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00036825,"about_ca_system_score_gemma":0.0006293826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002793447,"about_ca_topic_score_gemma":0.000006469279,"domain_scores_codex":[0.9955686,0.00004742946,0.0006697425,0.001521756,0.001327888,0.0008646072],"domain_scores_gemma":[0.9972592,0.000106531,0.0002887297,0.001599474,0.0003683167,0.0003777524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003665222,0.00003905886,0.00001278588,0.00003151067,0.00001027517,0.00003319379,0.0005384372,0.02756156,0.00006157222,0.8015597,0.00141906,0.1687291],"study_design_scores_gemma":[0.0004673187,0.0001007997,0.0001629859,0.0002498028,0.000003610255,0.00002686555,0.000001273974,0.8504878,0.0002153296,0.008201702,0.1393556,0.0007268898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004937972,0.0001425086,0.8798369,0.001123467,0.0007182113,0.000601571,0.000001232826,0.0002926837,0.117234],"genre_scores_gemma":[0.004479908,0.0003741547,0.9354865,0.001819673,0.0003038938,0.00004804576,0.00001170744,0.0000752137,0.0574009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8229263,"threshold_uncertainty_score":0.9998441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138936483571038,"score_gpt":0.2480085735984197,"score_spread":0.2266192087627094,"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."}}