{"id":"W7134185870","doi":"10.1109/icngn67480.2025.11413736","title":"Optimized Bandwidth Allocation in Cellular Networks Using Genetic Algorithms and a Historical Stability Index","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stability (learning theory); Cellular network; Bandwidth (computing); Genetic algorithm; Bandwidth allocation; Index (typography)","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":[0.0008621168,0.0004596397,0.0003667098,0.0007339823,0.0004308433,0.0008866814,0.0004592753,0.0007095038,0.0009974422],"category_scores_gemma":[0.002985172,0.0002225311,0.0002702925,0.0007594874,0.0007313448,0.0009157307,0.0004476567,0.0004702837,0.0001137447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329266,"about_ca_system_score_gemma":0.0007256417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482636,"about_ca_topic_score_gemma":0.004174078,"domain_scores_codex":[0.9997342,0.0001238816,0.000007098548,0.00003373776,0.00006770153,0.00003335914],"domain_scores_gemma":[0.999453,0.0003237338,0.00005226368,0.00002615728,0.0001248863,0.00001994319],"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":[0.0000159864,0.000008291752,0.0001680584,0.000007643135,0.000007873034,0.000007885071,0.0000115705,0.9771113,0.0003795654,0.0131973,0.0001965331,0.008888048],"study_design_scores_gemma":[0.000002334599,0.000008407115,0.00007229512,0.000002830967,0.000002977054,0.000003511137,0.000004432018,0.9946783,0.0002092862,0.004848747,0.0001647734,0.000002136032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1158044,0.001005696,0.8681287,0.0004991963,0.0001366241,0.00003565436,0.00005139916,0.0001050129,0.01423328],"genre_scores_gemma":[0.9328142,0.0003876662,0.06324271,0.0000568631,0.00005846555,0.00004535187,0.00004048045,0.0000437443,0.00331046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004482636,"threshold_uncertainty_score":0.009644568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520464609871864,"score_gpt":0.2258009190413779,"score_spread":0.2105962729426592,"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."}}