{"id":"W2017771141","doi":"10.1109/wowmom.2010.5534923","title":"Automatic planning of UMTS release 4.0 networks using realistic traffic","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"UMTS frequency bands; Computer science; Computer network; Intelligent Network; Telecommunications service; Distributed computing; Network planning and design; Service (business); Network topology; Cellular network; Set (abstract data type)","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":[0.0008525386,0.0009357107,0.0006547575,0.0004707228,0.0006183287,0.0008498111,0.0006354289,0.0007892912,0.00187411],"category_scores_gemma":[0.00223294,0.0007473044,0.0005533387,0.0004858868,0.0006733477,0.0008540766,0.0005665249,0.0007274425,0.0001914308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994008,"about_ca_system_score_gemma":0.001434477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414659,"about_ca_topic_score_gemma":0.01705345,"domain_scores_codex":[0.9995015,0.0002400628,0.00001207354,0.00006088517,0.00007922481,0.0001063531],"domain_scores_gemma":[0.9988502,0.0008657675,0.0001023684,0.00003547895,0.00008276715,0.00006340865],"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":[0.00001947014,0.000006996046,0.0001253716,0.000007989651,0.000002476606,0.00002620543,0.00001060586,0.9958578,0.0002325179,0.001230828,0.0001796451,0.002300023],"study_design_scores_gemma":[0.000005249125,0.00001400675,0.00005468901,0.000002205634,0.000002311373,0.00000640464,0.00001448545,0.9982057,0.0002934907,0.001198577,0.0002003425,0.000002500212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2456473,0.0003566233,0.7365386,0.0005611388,0.00005867858,0.000306322,0.0003799969,0.0007473511,0.01540394],"genre_scores_gemma":[0.880075,0.0002195097,0.1166296,0.00005786431,0.00001325549,0.0002216975,0.0002961237,0.00008718571,0.002399936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01414659,"threshold_uncertainty_score":0.0281285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208840055970665,"score_gpt":0.3274471471092448,"score_spread":0.2853587465495381,"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."}}