{"id":"W1974324741","doi":"10.1109/cec.2013.6557682","title":"Broadband wireless network planning using evolutionary algorithms","year":2013,"lang":"en","type":"article","venue":"","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Evolutionary algorithm; Optimization problem; Wireless network; RSS; Base station; Mathematical optimization; Evolutionary computation; Quantum computer; Wireless; Distributed computing; Artificial intelligence; Algorithm; Computer network; Quantum; Mathematics; 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":[0.0000486569,0.0001018767,0.0001117001,0.00003304545,0.0001410374,0.00003839437,0.00009601409,0.0000597615,0.0002248837],"category_scores_gemma":[0.00000207836,0.0001035344,0.00002877971,0.0001836306,0.0000222545,0.0001923756,0.00002748983,0.00008753603,0.0003819734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218901,"about_ca_system_score_gemma":0.000009520812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003004694,"about_ca_topic_score_gemma":0.000002873503,"domain_scores_codex":[0.9993272,0.00001068611,0.0002122752,0.0001105139,0.00008601673,0.0002532474],"domain_scores_gemma":[0.9996636,0.00002769476,0.00002032348,0.0001968533,0.00003791069,0.00005363897],"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":[7.716991e-7,0.00001428459,0.004229202,0.000026469,0.00005916065,0.000001643337,0.0002484211,0.9191548,0.02860306,0.001855581,0.03603465,0.009771918],"study_design_scores_gemma":[0.00005155106,0.000003199739,0.006899092,0.00002790289,0.000005603016,0.000010724,0.0001262445,0.9872641,0.0005448716,0.0004800252,0.004423897,0.0001627875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5510804,0.001132542,0.423546,0.00003311356,0.0005432739,0.0004917678,0.000002173569,0.0009036679,0.02226711],"genre_scores_gemma":[0.9858422,0.00000333809,0.01329082,0.00001956751,0.0003529186,0.00006898978,0.000006591581,0.00003325496,0.000382338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4347618,"threshold_uncertainty_score":0.4909623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162102399912301,"score_gpt":0.2404235164067037,"score_spread":0.2188024924075807,"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."}}