{"id":"W4416874063","doi":"10.1109/qce65121.2025.10367","title":"QUBO Formulation for Task Offloading in Mobile Cloud Computing","year":2025,"lang":"","type":"article","venue":"","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); Cloud computing; Mobile device; Resource allocation; Mobile cloud computing; Resource (disambiguation); Mobile computing","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":[0.001441908,0.0008163378,0.001026365,0.0004423338,0.0006892554,0.001397081,0.001088853,0.001230841,0.007776745],"category_scores_gemma":[0.002450045,0.000536156,0.0007231144,0.0007127907,0.0008955653,0.00101997,0.001171858,0.001258202,0.0005339842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763597,"about_ca_system_score_gemma":0.002312728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019593,"about_ca_topic_score_gemma":0.01128794,"domain_scores_codex":[0.9994253,0.0001647942,0.00002642488,0.00009178888,0.0001504516,0.0001412316],"domain_scores_gemma":[0.9990877,0.0005554942,0.00005557631,0.00004481587,0.0001783548,0.00007792932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001573495,0.00006928323,0.0003727449,0.0003039005,0.00002921059,0.0001821049,0.0001341183,0.8911929,0.002464914,0.0820181,0.00501311,0.01806225],"study_design_scores_gemma":[0.00001445893,0.00001669607,0.00008215442,0.00001961887,0.000004509913,0.00001492424,0.00002757777,0.9855995,0.0001810148,0.01225408,0.001781264,0.000004135357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353811,0.0009403652,0.9659647,0.001157325,0.0002326475,0.0001860318,0.0002557001,0.0001609208,0.01756411],"genre_scores_gemma":[0.6405052,0.001211507,0.3362777,0.0008275202,0.0002463091,0.0007836014,0.0003464767,0.0003697452,0.01943195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01019593,"threshold_uncertainty_score":0.02601576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700883873410372,"score_gpt":0.289764681859466,"score_spread":0.2727558431253622,"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."}}