{"id":"W3183547348","doi":"10.23977/cpcs.2021.51009","title":"Mobile communication base station traffic forecast","year":2021,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Term (time); Time series; Computer science; Sequence (biology); Function (biology); Series (stratigraphy); Base (topology); Base station; Time sequence; Data mining; Machine learning; Telecommunications; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200089,0.000108687,0.0001335619,0.00007864439,0.0002613633,0.0001225373,0.000209216,0.00005593223,0.000003653094],"category_scores_gemma":[0.000005227153,0.0001218877,0.00002356907,0.0002038805,0.00003965623,0.0002427909,0.0001057466,0.000159561,0.00001220219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004556294,"about_ca_system_score_gemma":0.00001179058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005745512,"about_ca_topic_score_gemma":0.000006941699,"domain_scores_codex":[0.9992602,0.00009169658,0.0002950105,0.0001163139,0.0001075963,0.0001292092],"domain_scores_gemma":[0.9991053,0.00004970364,0.00006383711,0.0006440515,0.00009528571,0.00004183143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008303413,0.00008956759,0.001303099,0.0005924487,0.00008010115,0.000001241951,0.004799599,0.4668532,0.0003876333,0.003261607,0.03347903,0.4891442],"study_design_scores_gemma":[0.0002243502,0.00002328616,0.001186431,0.0002019436,0.00001063316,0.00001743864,0.001143779,0.9600798,0.0002254478,0.000004764827,0.03675097,0.0001311161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403585,0.00900166,0.03837381,0.00004591361,0.0002161276,0.0003637813,0.000005667968,0.003161029,0.008473491],"genre_scores_gemma":[0.9896571,0.007377677,0.002562444,0.00003509055,0.00002264106,0.00006222181,0.000157103,0.00001849038,0.0001072324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4932266,"threshold_uncertainty_score":0.4970436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433775148542866,"score_gpt":0.2238909663001613,"score_spread":0.2095532148147326,"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."}}