{"id":"W3118828998","doi":"10.48550/arxiv.2101.00110","title":"Task Offloading and Resource Allocation with Multiple CAPs and Selfish Users","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Task (project management); Resource allocation; Computer science; Resource (disambiguation); Environmental economics; Economics; Computer network","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":[0.001504481,0.000906444,0.0009974308,0.0003787599,0.0008105036,0.001135381,0.001452758,0.0009918464,0.001525297],"category_scores_gemma":[0.003136739,0.0004747692,0.0006991402,0.0005072317,0.001153744,0.001271486,0.001275074,0.001002281,0.000184869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008751145,"about_ca_system_score_gemma":0.001241297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00410214,"about_ca_topic_score_gemma":0.0036412,"domain_scores_codex":[0.9987686,0.0004968836,0.00003918663,0.0002373402,0.000214947,0.0002429903],"domain_scores_gemma":[0.9980341,0.001109913,0.0002363077,0.0002261113,0.0002085746,0.0001851277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001486963,0.00007676325,0.0007671473,0.00003656368,0.00002986068,0.0002158186,0.00007004762,0.9767926,0.002165741,0.01069945,0.0002737419,0.008723592],"study_design_scores_gemma":[0.00000852079,0.00002903952,0.00007831576,0.000001332716,0.000003780007,0.00002630389,0.00001611182,0.9974663,0.0003154266,0.001927321,0.000123598,0.000003845184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2043154,0.000219804,0.7898011,0.0003331155,0.00006267546,0.0001494882,0.00004544685,0.0001969863,0.004875914],"genre_scores_gemma":[0.9564735,0.00006032372,0.04173812,0.00006826877,0.00002164764,0.00006947689,0.00001930662,0.00002004418,0.001529375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00410214,"threshold_uncertainty_score":0.008156538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614834635697853,"score_gpt":0.1585442291112995,"score_spread":0.1123958827543209,"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."}}