{"id":"W2100359074","doi":"10.1109/25.832966","title":"Strategies to maximize carried traffic in dual-mode cellular systems","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Exploit; Dual (grammatical number); Computer science; Bandwidth (computing); Linear programming; Control (management); Mode (computer interface); Dual mode; Computer network; Engineering; Electronic engineering; Computer security; Artificial intelligence; Algorithm","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":[0.0002909159,0.0002400733,0.0003363436,0.001042138,0.000220574,0.0001914807,0.001464415,0.0003838884,0.00007326963],"category_scores_gemma":[0.00000350304,0.0002518824,0.00008825557,0.002550306,0.0001473325,0.0003175736,0.00001175664,0.0008778338,0.0003353698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819072,"about_ca_system_score_gemma":0.0001447011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001314999,"about_ca_topic_score_gemma":0.0002987371,"domain_scores_codex":[0.9977916,0.0002382208,0.0004241634,0.0006077274,0.0003421073,0.0005961721],"domain_scores_gemma":[0.9977146,0.00009333312,0.00004303492,0.00192981,0.00009328489,0.0001259277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001862747,0.0001686085,0.000001357725,0.00001050311,0.00002413302,0.00009252648,0.0002453752,0.9189627,0.004952173,0.005917314,0.00004652335,0.06956015],"study_design_scores_gemma":[0.000823618,0.0002577369,0.00002412342,0.00009586055,0.000009047197,0.00009692847,0.0004500796,0.9718701,0.01923493,0.0006090746,0.006074852,0.0004536823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.320734,0.0002907326,0.6739743,0.003053171,0.0001903903,0.0005604954,0.000006672461,0.0007547078,0.000435477],"genre_scores_gemma":[0.994882,0.0001802274,0.004054057,0.00005860685,0.00001400897,0.0004093313,0.000001549482,0.00002709416,0.0003731003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.674148,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456545097746259,"score_gpt":0.2651109469548166,"score_spread":0.250545495977354,"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."}}