{"id":"W4401163912","doi":"10.1109/bmsb62888.2024.10608288","title":"Resource Allocation in Heterogeneous ITCN","year":2024,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"National Natural Science Foundation of China","keywords":"Computer science; Resource allocation; Resource management (computing); Distributed computing; 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":[0.0008338463,0.0005774458,0.0006134362,0.0004168579,0.0006749543,0.001125602,0.001199253,0.0005136288,0.001446094],"category_scores_gemma":[0.001590311,0.0002315775,0.0003077821,0.0008961551,0.0006066441,0.001274621,0.001081678,0.0004644769,0.0001479555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117578,"about_ca_system_score_gemma":0.001030355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007240862,"about_ca_topic_score_gemma":0.006963621,"domain_scores_codex":[0.9992208,0.0002395066,0.00002700401,0.000166217,0.0001241261,0.0002222352],"domain_scores_gemma":[0.9994316,0.0002555608,0.00007082152,0.00005770513,0.0001098586,0.00007457542],"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":[0.0001103482,0.00004870415,0.0007017067,0.00003848684,0.00003017423,0.0002336029,0.00005758636,0.9479821,0.003334315,0.01465001,0.0008497274,0.03196314],"study_design_scores_gemma":[0.000007839626,0.0000247277,0.0001083202,0.000002383174,0.00000800554,0.00003030389,0.00002468816,0.9954116,0.0004790581,0.003478834,0.0004199586,0.000004204758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1267962,0.0004252721,0.8619189,0.0002051482,0.00006460696,0.00007344963,0.00007446328,0.0001810494,0.01026093],"genre_scores_gemma":[0.9637197,0.0001291013,0.03407542,0.00007788251,0.00001848498,0.00005138818,0.00005153344,0.00002014932,0.001856443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007240862,"threshold_uncertainty_score":0.01439744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136602479462497,"score_gpt":0.2379496416326643,"score_spread":0.2265836168380393,"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."}}