{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020212,0.0004695408,0.0003205882,0.0006296602,0.0003148105,0.0006566541,0.00042432,0.0004604303,0.00114259],"category_scores_gemma":[0.001063944,0.0001495005,0.0001913514,0.00118778,0.0001187101,0.00102562,0.0001796501,0.0005981931,0.0004540611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952682,"about_ca_system_score_gemma":0.0005273464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03268092,"about_ca_topic_score_gemma":0.01665382,"domain_scores_codex":[0.9998666,0.00001489463,0.000004871995,0.00004306339,0.00004673992,0.00002378352],"domain_scores_gemma":[0.9998042,0.00005436162,0.0000274901,0.00001383775,0.00008858567,0.00001158563],"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":[0.00006332379,0.000048249,0.02193509,0.00008635802,0.00003826964,0.0001559355,0.00005471245,0.8372008,0.003430449,0.005187165,0.007256743,0.1245429],"study_design_scores_gemma":[0.000001592821,0.000009248792,0.003034809,0.000006276556,0.000006888059,0.00001484455,0.00002758697,0.9939607,0.0005578398,0.001028984,0.001346981,0.000004194771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5769609,0.002826327,0.3883769,0.001990525,0.0006144144,0.00007542417,0.003483146,0.001588698,0.02408373],"genre_scores_gemma":[0.9831668,0.001047571,0.01138585,0.00005333692,0.0001257283,0.00002154791,0.001399178,0.00003178424,0.002768242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03268092,"threshold_uncertainty_score":0.0649814,"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."}}