{"id":"W2096641768","doi":"10.1109/wimob.2007.4390820","title":"Mobile Radio Network Planning Aspects","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tabu search; Computer science; Quality of service; Provisioning; Software deployment; Network planning and design; Cellular network; Radio access network; Power control; Computer network; Mobile radio; Distributed computing; Resource (disambiguation); Power (physics); Mobile station; Base station; 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":[0.001206306,0.00008628299,0.0001036922,0.00008045061,0.0001944978,0.0001509378,0.001814244,0.00005446923,0.00004872098],"category_scores_gemma":[0.00001864085,0.00007875141,0.00003679017,0.0007895955,0.00004142441,0.0002903233,0.0006732321,0.0002531233,0.0001524721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005476592,"about_ca_system_score_gemma":0.00004869043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001215526,"about_ca_topic_score_gemma":0.00001220916,"domain_scores_codex":[0.9986418,0.0000700448,0.0001939699,0.0002365924,0.0003287532,0.0005287909],"domain_scores_gemma":[0.9982619,0.0003679374,0.000043289,0.00111126,0.00006687735,0.0001487701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001355593,0.00009189566,0.005490768,0.000007253945,0.00003181014,0.0001025613,0.001158514,0.07548291,0.000234233,0.6428407,0.07931675,0.1952291],"study_design_scores_gemma":[0.0006248431,0.0002483227,0.02000746,0.00006603768,0.000002441725,0.00007291392,0.0001226717,0.683623,0.002010662,0.01385778,0.2787995,0.000564386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002664197,0.001173354,0.8361959,0.0001498517,0.0001689319,0.0001395817,4.295552e-8,0.0003269564,0.1591811],"genre_scores_gemma":[0.8875063,0.00003807425,0.1101037,0.0002436957,0.0002295619,0.00001406634,0.000001261881,0.000008706583,0.00185464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8848421,"threshold_uncertainty_score":0.3371346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053627729309428,"score_gpt":0.3203163496996069,"score_spread":0.2897800724065127,"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."}}