{"id":"W3108959094","doi":"10.1007/978-3-030-60382-3_8","title":"A Distributed Contention-Resolution Self-Organizing TDMA Scheme for MTC","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Time division multiple access; Computer science; Computer network; Channel (broadcasting); Transmission (telecommunications); Throughput; Queue; Real-time computing; Distributed computing; Wireless; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003841655,0.0008265671,0.001027432,0.0001139598,0.0005043606,0.0005563385,0.001686837,0.001062556,0.00004668599],"category_scores_gemma":[0.00002235184,0.0008648906,0.0005513593,0.0002472778,0.00009219045,0.0003921958,0.0006681294,0.001036603,0.00008247508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497202,"about_ca_system_score_gemma":0.0002080527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008696389,"about_ca_topic_score_gemma":0.00001749515,"domain_scores_codex":[0.9962329,0.00006080671,0.0009247725,0.001381006,0.0005296695,0.0008707932],"domain_scores_gemma":[0.9970201,0.0003036597,0.0007832866,0.001062651,0.000437842,0.0003924438],"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":[0.0000983903,0.00006177538,0.00002310535,0.000240394,0.0004088054,0.00006008254,0.00008885989,0.003716025,0.00002810137,0.9058048,0.06181758,0.02765213],"study_design_scores_gemma":[0.001037553,0.0001824629,0.00001716956,0.0006456698,0.00006892261,0.00001578691,0.000003154667,0.6969679,0.00001377208,0.007209557,0.292963,0.0008750436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004868572,0.001159868,0.9768572,0.001072925,0.001097523,0.007600355,0.0001139332,0.001182093,0.01091117],"genre_scores_gemma":[0.2663921,0.004873313,0.3649845,0.01389289,0.05520085,0.0419473,0.01499686,0.003715418,0.2339967],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8985952,"threshold_uncertainty_score":0.9993802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526847462910639,"score_gpt":0.233172126380191,"score_spread":0.2079036517510846,"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."}}