{"id":"W1967151485","doi":"10.1109/wcl.2013.070113.130185","title":"A Dynamic Time Slot Allocation Scheme for Hybrid CSMA/TDMA MAC Protocol","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Time division multiple access; Computer network; Computer science; Queue; Channel access method; Channel allocation schemes; Channel (broadcasting); Access control; Queueing theory; Scheme (mathematics); Real-time computing; Wireless; Telecommunications; Mathematics","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":[0.0004321601,0.0003145247,0.0003182095,0.0001714427,0.0005976737,0.00053055,0.004517479,0.00009462009,0.00003720117],"category_scores_gemma":[0.00001977962,0.0003168085,0.0001652055,0.0004658483,0.0002063421,0.001036101,0.0005085648,0.0003374441,0.0005539035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546826,"about_ca_system_score_gemma":0.0001056346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000882005,"about_ca_topic_score_gemma":0.00001550197,"domain_scores_codex":[0.9977514,0.0002593308,0.0005982177,0.0005331162,0.0002983972,0.0005595795],"domain_scores_gemma":[0.994936,0.0003956717,0.0003317977,0.0039035,0.0002777657,0.0001552871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008987075,0.001395026,0.000365647,0.000500923,0.0003234587,0.000005953678,0.001121934,0.004641649,0.3989012,0.04394652,0.2067575,0.3419503],"study_design_scores_gemma":[0.0009458557,0.00007765365,0.0002688265,0.0001241449,0.000007410869,0.00001290421,0.000007010695,0.9527144,0.003010337,0.0009326412,0.04144654,0.0004522697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.009865,0.00001788433,0.7150165,0.03870169,0.0001579913,0.2350747,0.00001633235,0.0006138933,0.0005359703],"genre_scores_gemma":[0.1114553,0.000005501066,0.159307,0.002754696,0.00007650235,0.7259989,0.00005768643,0.00004955176,0.0002948358],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9480727,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966544636711405,"score_gpt":0.2851893316486834,"score_spread":0.2655238852815693,"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."}}