{"id":"W7083003480","doi":"10.1016/j.iot.2025.101763","title":"Robust priority aware multi-criterion offloading in digital twin UAVs networks","year":2025,"lang":"en","type":"article","venue":"Internet of Things","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Scheduling (production processes); Orchestration; Energy consumption; Resource allocation; Edge computing; Computational complexity theory; Integer programming; Cloud computing; Heuristic; Resource management (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":[0.0007292388,0.0008096703,0.001005698,0.0004007127,0.000465331,0.0009749403,0.0009369111,0.0006510539,0.001188339],"category_scores_gemma":[0.001564612,0.0003695526,0.0004692198,0.000419403,0.000657811,0.0006981925,0.0008554299,0.0006688132,0.0001384479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009344567,"about_ca_system_score_gemma":0.0008503992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006100473,"about_ca_topic_score_gemma":0.003688917,"domain_scores_codex":[0.9996011,0.0001248873,0.00001514472,0.00007259958,0.00008838693,0.00009793604],"domain_scores_gemma":[0.9992605,0.000429804,0.0001073585,0.0000336622,0.00009876233,0.00006998964],"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":[0.00005580888,0.00002328493,0.0002418809,0.00003226651,0.00001048902,0.00005966118,0.00002574511,0.9861443,0.001117555,0.002460844,0.0003292842,0.009498808],"study_design_scores_gemma":[0.000002182722,0.00001043061,0.00002892408,0.00000140846,0.000001389691,0.000004562231,0.000005172633,0.9992261,0.0001121788,0.0005449812,0.00006139607,0.000001388417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0660004,0.0005406415,0.9286551,0.0002109856,0.00007443288,0.00004960087,0.00004049324,0.0001943403,0.004233927],"genre_scores_gemma":[0.9554856,0.0002228928,0.04227049,0.00006461963,0.00002748425,0.00005808293,0.00005137374,0.00004011747,0.001779373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006100473,"threshold_uncertainty_score":0.01212996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204996360615865,"score_gpt":0.2836060786964692,"score_spread":0.2631064426348827,"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."}}