{"id":"W2889009987","doi":"10.1109/iwcmc.2018.8450355","title":"MoT: A Deterministic Latency MAC Protocol for Mission-Critical IoT Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Aloha; Network packet; Throughput; Latency (audio); Scheduling (production processes); Telecommunications link; Wireless; Internet of Things; Bandwidth (computing); Telecommunications; Embedded system; 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":[0.00007524767,0.0001107292,0.0001030947,0.0000270183,0.0001148057,0.00004884438,0.0001264641,0.00008289261,0.0005754496],"category_scores_gemma":[0.00002364877,0.00009174547,0.00004424884,0.000086888,0.00005102417,0.00003561777,0.0000182163,0.00006617443,0.0001911301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608804,"about_ca_system_score_gemma":0.00001765564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001314955,"about_ca_topic_score_gemma":0.000002102417,"domain_scores_codex":[0.9993373,0.000007122963,0.0001868902,0.0001426506,0.00006840136,0.0002576591],"domain_scores_gemma":[0.9994951,0.0001093572,0.000009808166,0.0002165894,0.00006649443,0.0001026155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003605785,0.0005722272,0.000240705,0.004144007,0.00009130807,0.00001047022,0.0003122409,0.001404064,0.007167822,0.1208189,0.2376273,0.6272504],"study_design_scores_gemma":[0.0005156331,0.0001855298,0.00004429435,0.0000572654,0.00000660541,0.000005303126,0.000003851458,0.2089377,0.001849153,0.01028838,0.7779246,0.0001816837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00001061901,0.000001526672,0.4479394,0.000118621,0.00006459478,0.5160678,0.000006716958,0.0003650145,0.03542573],"genre_scores_gemma":[0.01200726,1.154523e-7,0.01914675,0.0000913184,0.0007251724,0.9673291,0.000001995515,0.00003213416,0.000666121],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6270687,"threshold_uncertainty_score":0.6300769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686180855258464,"score_gpt":0.371702243782913,"score_spread":0.3348404352303284,"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."}}