{"id":"W4387870335","doi":"10.1109/icc45041.2023.10279360","title":"A Reconfigurable Access Scheme for Critical mMTC Networks with Unknown Event Occurrence","year":2023,"lang":"en","type":"article","venue":"","topic":"Age of Information Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Network packet; Computer network; Scheduling (production processes); Random access; Real-time computing; Scheme (mathematics); Reliability (semiconductor); ALARM; Greedy algorithm; Distributed computing; Algorithm; 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":[0.0002875535,0.00009691818,0.00009752067,0.00009698148,0.0001559596,0.0004206271,0.0006837949,0.0000471552,0.00008782825],"category_scores_gemma":[0.0001460826,0.000077008,0.00003019618,0.0007474111,0.00003338556,0.00209303,0.0001024747,0.00007213937,0.00009239288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002638954,"about_ca_system_score_gemma":0.00008519019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003643843,"about_ca_topic_score_gemma":0.000004337911,"domain_scores_codex":[0.9990649,0.00001439132,0.0002159132,0.0002192678,0.0001858683,0.0002996518],"domain_scores_gemma":[0.9990789,0.000214793,0.00005654747,0.00030048,0.0002615097,0.00008777374],"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":[0.00002952581,0.00005257986,0.0002622637,0.00008566848,0.0000208013,0.000005884612,0.0002987574,0.4362657,0.000007200124,0.4010589,0.1259973,0.03591542],"study_design_scores_gemma":[0.0002170426,0.0000624503,0.0001220834,0.00002884425,0.000001908358,0.000005288764,0.00001733089,0.9926768,0.0002264968,0.0006296508,0.00587871,0.0001334151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001527681,0.000007888651,0.987313,0.00248842,0.0002609414,0.0002686666,0.000002862694,0.000462744,0.009042702],"genre_scores_gemma":[0.2690123,0.00005303727,0.7225919,0.002803094,0.0001707151,0.0004990649,0.0001465216,0.00002312061,0.004700174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5564111,"threshold_uncertainty_score":0.4056117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197565026577211,"score_gpt":0.3188278660308375,"score_spread":0.2868522157650654,"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."}}