{"id":"W2478535543","doi":"10.5539/cis.v9n3p115","title":"Mobile Network Planing Process Case Study - 3G Network","year":2016,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Service (business); Dimensioning; Telecommunications; Cellular network; Process (computing); Plan (archaeology); Network planning and design; Terrain; Order (exchange); Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000754844,0.0004348624,0.0001749697,0.0007577942,0.001236172,0.00129251,0.0006386248,0.001129557,0.008545817],"category_scores_gemma":[0.001594714,0.0002075803,0.000555526,0.001154072,0.0004418603,0.0008521094,0.0007995935,0.0006254424,0.0008439356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500308,"about_ca_system_score_gemma":0.001949394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071305,"about_ca_topic_score_gemma":0.02645207,"domain_scores_codex":[0.9993318,0.0002765845,0.00003630996,0.00009152794,0.0001589805,0.0001046982],"domain_scores_gemma":[0.9990847,0.0005075887,0.00007208183,0.00008908442,0.0001421747,0.0001043694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003124655,0.000496292,0.01875954,0.0003585094,0.00003666351,0.01326481,0.002896909,0.777263,0.008480158,0.05150905,0.009817478,0.1168051],"study_design_scores_gemma":[0.0001066128,0.0004475043,0.006814665,0.0001291332,0.0000432021,0.002383656,0.005826063,0.8666437,0.01532287,0.01280377,0.08941568,0.00006308207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277204,0.0005586063,0.2494138,0.002577624,0.0001258966,0.002031227,0.003499999,0.0009519134,0.1131207],"genre_scores_gemma":[0.8170241,0.0004416263,0.1598199,0.00008856785,0.00002218352,0.0004612223,0.001549516,0.00006545629,0.02052745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02071305,"threshold_uncertainty_score":0.04118502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265814406268704,"score_gpt":0.3087473697570942,"score_spread":0.2860892256944072,"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."}}