{"id":"W4399728456","doi":"10.1109/tcomm.2024.3415608","title":"Age of Information Minimization for Opportunistic Channel Access","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Age of Information Optimization","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Minification; Computer science; Channel (broadcasting); Computer network; Electronic engineering; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002383253,0.0001247303,0.0001301239,0.0005653402,0.0003065829,0.0004040737,0.001545985,0.00008215228,0.00002058059],"category_scores_gemma":[0.00002689956,0.0001311988,0.000107459,0.000838804,0.00008092388,0.004144191,0.00001579612,0.0001439111,0.00004188862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007810811,"about_ca_system_score_gemma":0.0001704886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001312301,"about_ca_topic_score_gemma":0.0000112492,"domain_scores_codex":[0.9989374,0.00005031267,0.0005413764,0.0001279086,0.0002046199,0.0001383559],"domain_scores_gemma":[0.9978887,0.0003797458,0.0001505468,0.001215411,0.0003037358,0.00006188919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003701633,0.0004074458,0.000001056623,0.0005321411,0.0001761671,0.000001078346,0.007666915,0.3159695,0.0002298772,0.424509,0.004965295,0.2455045],"study_design_scores_gemma":[0.0002039657,0.00006527014,0.00001209688,0.0000895774,0.0000267693,0.000004931816,0.00006890274,0.9841447,0.001266362,0.002523983,0.01145374,0.0001396489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001085898,0.00003202955,0.9921881,0.002304319,0.0005219401,0.0005497532,0.0001283796,0.0003567336,0.003907871],"genre_scores_gemma":[0.8372244,0.0005006591,0.1605641,0.0003530775,0.00001703003,0.0004745033,0.0004114365,0.00001786031,0.0004369409],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8372135,"threshold_uncertainty_score":0.535013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06464501266160738,"score_gpt":0.3163053570487454,"score_spread":0.251660344387138,"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."}}