{"id":"W4416778641","doi":"10.18280/jesa.581016","title":"QoS-Aware Task Offloading in Fog-IoT Environment Using Hybrid Deep Q-Learning with Actor-Critic Framework","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Task (project management); Component (thermodynamics); Key (lock); Automation; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923496,0.0007190618,0.001234559,0.000373909,0.0005132452,0.001228209,0.001488879,0.001222919,0.002211271],"category_scores_gemma":[0.00338855,0.0004653534,0.000466139,0.0004231147,0.0007720029,0.001065682,0.001366191,0.001486663,0.000255385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549658,"about_ca_system_score_gemma":0.001955774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033839,"about_ca_topic_score_gemma":0.01120105,"domain_scores_codex":[0.9994401,0.0001654064,0.00002600512,0.0001574585,0.00008388163,0.000127193],"domain_scores_gemma":[0.9983727,0.001024154,0.00009402027,0.00006278943,0.0002963343,0.0001499258],"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":[0.0002925277,0.0002581683,0.001862104,0.00008791126,0.00007916742,0.0001204086,0.0001190847,0.9059296,0.003213338,0.006492347,0.002437209,0.07910824],"study_design_scores_gemma":[0.000005188585,0.000008657771,0.00004987703,0.00000194726,0.000003035181,0.000002780042,0.000004180866,0.9985312,0.0001272953,0.001204296,0.00005986934,0.000001609289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03491987,0.0004324793,0.9610139,0.0005510688,0.000135274,0.00005049092,0.0000434864,0.0004294402,0.002423812],"genre_scores_gemma":[0.9285429,0.0001567399,0.06827808,0.0002796057,0.00007293555,0.00006355846,0.00008460252,0.00007478618,0.002446662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01033839,"threshold_uncertainty_score":0.02055645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542723590562883,"score_gpt":0.2531223282376907,"score_spread":0.2376950923320619,"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."}}