{"id":"W3097829375","doi":"10.1109/ecce44975.2020.9236405","title":"Optimization-Based Design of Power Architecture for 5G Small Cell Base Stations","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microgrid; Base station; Computer science; Software deployment; Architecture; Reliability (semiconductor); Distributed computing; Efficient energy use; Optimal design; Base (topology); Power (physics); Reliability engineering; Engineering; Computer network; Software engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003726819,0.0007621871,0.0004391872,0.0004002734,0.0003050611,0.0008684479,0.0006190573,0.0004877574,0.002920342],"category_scores_gemma":[0.0006817309,0.0003961962,0.0003765991,0.0004310376,0.0004473606,0.0005077181,0.00045306,0.0004809056,0.0003474723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254227,"about_ca_system_score_gemma":0.0008547658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002798911,"about_ca_topic_score_gemma":0.004478966,"domain_scores_codex":[0.9997862,0.00007290646,0.000005908829,0.00003257073,0.00006527259,0.00003707066],"domain_scores_gemma":[0.9998487,0.00005710956,0.00002876402,0.000008990127,0.00004596196,0.00001040152],"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":[0.00002125158,0.00001110327,0.0001892947,0.00003329632,0.00001131028,0.00003357882,0.0000188535,0.9832513,0.002092271,0.005534294,0.0003166998,0.008486816],"study_design_scores_gemma":[0.000006024737,0.00003119442,0.0001057603,0.000005285553,0.000007705682,0.000009171368,0.00001493061,0.9961085,0.000571081,0.002514433,0.0006232262,0.000002722527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04896336,0.000419781,0.9308292,0.0002699815,0.00003327466,0.0001500762,0.0001107782,0.000207008,0.01901668],"genre_scores_gemma":[0.9250292,0.0003388893,0.0707527,0.00005016238,0.00001574019,0.0001828407,0.00006116996,0.00004263893,0.003526612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002920342,"threshold_uncertainty_score":0.009769499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791672188411316,"score_gpt":0.2038209087158315,"score_spread":0.1859041868317184,"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."}}