{"id":"W1985620304","doi":"10.1109/vetecf.2011.6093270","title":"Wireless Mesh Network Planning Using Quantum Inspired Evolutionary Algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; UMTS frequency bands; Evolutionary algorithm; Probabilistic logic; Wireless network; Base station; Algorithm; Genetic algorithm; Computer network; Wireless; Distributed computing; Telecommunications; Artificial intelligence","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":[0.00007181901,0.0001529859,0.0001636693,0.00006306686,0.00009187173,0.000009923685,0.00009785724,0.00009412655,0.00007488815],"category_scores_gemma":[0.00000360024,0.0001632406,0.00003385119,0.0002350203,0.00001987713,0.0003141362,0.00002902502,0.00009989771,0.00002338266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071258,"about_ca_system_score_gemma":0.00001391735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003999162,"about_ca_topic_score_gemma":0.000001934735,"domain_scores_codex":[0.9991832,0.00001840752,0.0002506938,0.000155235,0.00008967274,0.0003027846],"domain_scores_gemma":[0.9996585,0.00001758364,0.00003984384,0.0001784215,0.00004001738,0.00006563521],"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":[0.00000386078,0.000009129863,0.0011524,0.00002706768,0.00003198568,0.0000126178,0.0003416717,0.9939985,0.0003294634,0.001695477,0.0007105448,0.001687228],"study_design_scores_gemma":[0.0001477195,0.00001133451,0.0004681058,0.00008455965,0.000009548106,0.00002015007,0.0001218933,0.9980819,0.0003288809,0.0003850729,0.0001288498,0.0002120097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01071821,0.0005182661,0.9803448,0.000001075796,0.0007614112,0.0001499312,0.000002989854,0.0007725571,0.006730717],"genre_scores_gemma":[0.6791869,0.00001921892,0.3203444,0.00001543134,0.0002597098,0.00001243997,0.00001408906,0.00006029563,0.00008750133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6684688,"threshold_uncertainty_score":0.6656756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098683180932461,"score_gpt":0.2338964704704156,"score_spread":0.202909638661091,"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."}}