{"id":"W2151065293","doi":"10.1109/icupc.1998.733631","title":"Dynamic reservation integrated services multiple access for wireless ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Variable bitrate; Computer network; Constant bitrate; Reservation; Bandwidth (computing); Frame (networking); Wireless; Channel (broadcasting); Asynchronous Transfer Mode; Channel access method; Wireless network; Quality of service; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004481611,0.0003356897,0.0003224325,0.0004162811,0.0005175531,0.0008734922,0.001021612,0.0006101769,0.002942976],"category_scores_gemma":[0.0007931526,0.0001883307,0.0002440068,0.0004781295,0.0004076971,0.001114009,0.0005884158,0.0008059062,0.001315402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650094,"about_ca_system_score_gemma":0.0004858308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005462637,"about_ca_topic_score_gemma":0.0008846675,"domain_scores_codex":[0.9996414,0.00009373751,0.00002203342,0.00004003405,0.0001634141,0.00003934251],"domain_scores_gemma":[0.9997868,0.00004860569,0.00002856005,0.00004067111,0.00007308152,0.00002231238],"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":[0.0002578738,0.000112894,0.0006856485,0.0005056384,0.00007719205,0.0007226535,0.0002025438,0.01732776,0.07946274,0.2041369,0.03246618,0.6640419],"study_design_scores_gemma":[0.0001447514,0.0004717666,0.001081269,0.0001025788,0.0001384312,0.001844511,0.0000885701,0.4437374,0.03450189,0.0854975,0.4322694,0.0001219621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01701872,0.01392987,0.9381338,0.001200079,0.001146301,0.0001911334,0.0001405193,0.00298294,0.02525667],"genre_scores_gemma":[0.5098472,0.01290656,0.4443589,0.0005720632,0.001456899,0.0004985847,0.000711488,0.0001867479,0.0294616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002942976,"threshold_uncertainty_score":0.009845257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470401711721305,"score_gpt":0.3148860348851606,"score_spread":0.2601820177679475,"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."}}