{"id":"W2039261184","doi":"10.1109/bsc.2008.4563200","title":"A slot allocation technique for WiMAX backhaul networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Backhaul (telecommunications); WiMAX; Computer network; Computer science; Base station; Wireless; Internet access; Wireless network; The Internet; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004791612,0.000107167,0.0001013283,0.00004138871,0.00006603068,0.000006162824,0.00007117749,0.00009014492,0.00002839098],"category_scores_gemma":[0.000008951019,0.0001131009,0.00003222372,0.0001758911,0.00001844633,0.000149588,0.00000905582,0.00007056339,0.000007894327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005511,"about_ca_system_score_gemma":0.000006948382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001432495,"about_ca_topic_score_gemma":0.000004221875,"domain_scores_codex":[0.9994771,0.00000531204,0.000150412,0.0001189763,0.00005519367,0.0001929799],"domain_scores_gemma":[0.9997012,0.0000407397,0.00001818922,0.0001500415,0.00005120276,0.00003865242],"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":[0.000004899516,0.000006126696,0.00003060218,0.00001032608,0.000006853012,5.837805e-7,0.00001533049,0.9910378,0.001199211,0.001094435,0.004714862,0.001878983],"study_design_scores_gemma":[0.0001697599,0.00001841877,0.00006358964,0.00001085838,0.000003597069,0.0000120743,0.00000401764,0.9876633,0.007286695,0.000172784,0.004447859,0.0001470434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004076546,0.0001435924,0.9934968,0.00002745632,0.000160343,0.000544627,0.000001108849,0.000671097,0.004547285],"genre_scores_gemma":[0.7326621,0.0003794254,0.2656671,0.00006003374,0.0002166776,0.0004172871,0.00005721167,0.00005729232,0.0004828548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7322544,"threshold_uncertainty_score":0.4612122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015650346229393,"score_gpt":0.2063541030690553,"score_spread":0.1961975996067614,"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."}}