{"id":"W4280565652","doi":"10.1109/wcnc51071.2022.9771792","title":"Joint Wireless and Service Allocation for Mobile Computation Offloading with Job Completion Time and Cost Constraints","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Mobile edge computing; Wireless network; Computer network; Wireless; Computation offloading; Base station; Distributed computing; Enhanced Data Rates for GSM Evolution; Task (project management); Server; Edge computing; Operating system; Engineering","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0008083933,0.0002407461,0.000346692,0.0001506721,0.002081037,0.0004160352,0.0006517008,0.00006126241,0.000004153614],"category_scores_gemma":[0.000003800067,0.000260191,0.00002971513,0.0004915161,0.0002833671,0.0003162123,0.0008939594,0.0003614668,0.000001464022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008215953,"about_ca_system_score_gemma":0.0001197804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151578,"about_ca_topic_score_gemma":0.00007316642,"domain_scores_codex":[0.99819,0.0002972358,0.0003924637,0.0005201647,0.0002448644,0.0003552863],"domain_scores_gemma":[0.9981962,0.0004851354,0.0003079073,0.0006342029,0.0002553185,0.0001212457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005671567,0.0001719621,0.001941524,0.0001425889,0.0001127381,0.00000375753,0.006926021,0.001726652,0.006588999,0.01140977,0.0008789285,0.9700403],"study_design_scores_gemma":[0.0007538107,0.0001982151,0.001135174,0.0001491372,0.00003066402,0.00009731643,0.000372998,0.9910038,0.00005727692,0.0005293781,0.005330021,0.0003422388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5705411,0.0009496429,0.4232069,0.00225816,0.0009010919,0.001463346,0.00001431014,0.0002310997,0.0004343097],"genre_scores_gemma":[0.9893051,0.0004959445,0.009081312,0.0003751224,0.0001661281,0.0003525189,0.0001653664,0.00002357771,0.00003494996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9892771,"threshold_uncertainty_score":0.999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05189093733583509,"score_gpt":0.2653050745292175,"score_spread":0.2134141371933824,"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."}}