{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126395,0.0009906981,0.001006279,0.0005287238,0.0003588301,0.001020195,0.0008126864,0.0006043953,0.001334964],"category_scores_gemma":[0.003931008,0.0003443263,0.0004195689,0.0006954978,0.0007089793,0.00141669,0.001030316,0.0008839508,0.0002130648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071568,"about_ca_system_score_gemma":0.001298469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183367,"about_ca_topic_score_gemma":0.001411434,"domain_scores_codex":[0.9991412,0.0003000725,0.00003477161,0.0001484586,0.0002371886,0.0001383452],"domain_scores_gemma":[0.9982374,0.001143256,0.0001935829,0.00009218934,0.000251773,0.00008169954],"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":[0.0001182857,0.00006519093,0.0009163001,0.000172786,0.0000577161,0.0001219867,0.00009853841,0.905375,0.003204096,0.0488649,0.002412569,0.0385926],"study_design_scores_gemma":[0.000004752441,0.00003577187,0.0001441289,0.000007252706,0.000009393345,0.00002976072,0.0000129874,0.9916288,0.0005921282,0.006784075,0.0007456819,0.000005322066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02421961,0.0008962934,0.9692899,0.0002800662,0.0000711399,0.00004095953,0.00008086378,0.00009618695,0.005024927],"genre_scores_gemma":[0.8919906,0.001036343,0.1005154,0.0001972553,0.0001645051,0.0001399332,0.0001396905,0.0001006842,0.005715608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00183367,"threshold_uncertainty_score":0.00777483,"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."}}