{"id":"W1658471540","doi":"10.1109/glocom.1995.500375","title":"A slot assignment protocol for indoor wireless ATM networks using the channel characteristics and the traffic parameters","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer network; Computer science; Variable bitrate; Channel (broadcasting); Wireless broadband; Bandwidth (computing); Base station; Broadband networks; Wireless; Channel allocation schemes; Radio resource management; Broadband; Wireless network; Real-time computing; Telecommunications; Quality of service","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":[0.00134039,0.0004238684,0.0004100861,0.0005881719,0.001101593,0.001249942,0.001049577,0.000542584,0.002509925],"category_scores_gemma":[0.002535969,0.0002496913,0.0002675856,0.0007488756,0.000826959,0.001623089,0.0009354103,0.0009113246,0.0006538177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005997001,"about_ca_system_score_gemma":0.0007048159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009858861,"about_ca_topic_score_gemma":0.001431683,"domain_scores_codex":[0.9994317,0.0002124949,0.00005379366,0.00005885426,0.0001535646,0.00008957855],"domain_scores_gemma":[0.9988752,0.0004946091,0.0001421874,0.0001779611,0.0002421446,0.00006783613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001058735,0.0003736662,0.001396369,0.0005037559,0.0001344219,0.000703716,0.001062769,0.08532263,0.08312263,0.2155621,0.01497417,0.5957851],"study_design_scores_gemma":[0.0002730763,0.0007272979,0.0008678956,0.00007530139,0.0002115563,0.001009911,0.0002297407,0.8301795,0.03156578,0.05775671,0.07692698,0.0001762841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03480049,0.001013792,0.9517343,0.0002841107,0.0004021375,0.0003862917,0.0001705787,0.002175951,0.009032412],"genre_scores_gemma":[0.7261144,0.0008927637,0.2622341,0.0002073492,0.0003433019,0.0009056434,0.0004529074,0.0001868669,0.008662681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002509925,"threshold_uncertainty_score":0.008396506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09529028372832193,"score_gpt":0.3168775549173378,"score_spread":0.2215872711890158,"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."}}