{"id":"W2181519139","doi":"10.22215/etd/2010-06643","title":"Improving access in next-generation broadband wireless networks","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Telecommunications; Broadband; Wireless broadband; Computer science; Wireless; Wireless network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001011876,0.000277819,0.0001938711,0.0004478387,0.0005639349,0.002376739,0.0004675063,0.0008096258,0.01066524],"category_scores_gemma":[0.004364298,0.0001680984,0.000127696,0.0008464068,0.0003711547,0.003756881,0.0009472689,0.0009438567,0.002429313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000931186,"about_ca_system_score_gemma":0.001263876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003549305,"about_ca_topic_score_gemma":0.004122613,"domain_scores_codex":[0.9992368,0.0001980178,0.00002404998,0.00006456419,0.0003159337,0.0001605897],"domain_scores_gemma":[0.9991326,0.0002870483,0.0000488632,0.000099269,0.0003404274,0.0000918752],"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":[0.0001008673,0.0002961914,0.003216021,0.0002628551,0.00002209432,0.00007988558,0.0004344341,0.01282647,0.01133478,0.135299,0.06403226,0.7720951],"study_design_scores_gemma":[0.00004400903,0.0002695887,0.007118748,0.0003340791,0.00007068892,0.0003462405,0.001343467,0.1185949,0.01749658,0.1419647,0.7123792,0.00003781732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1655668,0.04121672,0.2715198,0.05411043,0.003387475,0.0003209567,0.0006926538,0.002489785,0.4606954],"genre_scores_gemma":[0.6750569,0.05532674,0.09408034,0.002130564,0.002026418,0.0001345801,0.0008174839,0.0003359606,0.170091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01066524,"threshold_uncertainty_score":0.0356788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576853783761805,"score_gpt":0.2961688596201097,"score_spread":0.2604003217824916,"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."}}