{"id":"W4392152313","doi":"10.1109/globecom54140.2023.10437264","title":"5G DIY: Impact of Different Elements on the Performance of an E2E 5G Standalone Testbed","year":2023,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Testbed; Computer science; Computer architecture; Embedded system; Computer network","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":[0.00007786039,0.00009261515,0.0001334542,0.00007094048,0.00002011827,0.000004774266,0.0001673291,0.00003751736,0.0001204614],"category_scores_gemma":[0.00002069981,0.00004892984,0.00004221048,0.0001894865,0.00003300237,0.00004498987,0.00002159491,0.00007925049,0.00001415088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000300425,"about_ca_system_score_gemma":0.0000054544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001519855,"about_ca_topic_score_gemma":0.000007506454,"domain_scores_codex":[0.9994839,0.000005626815,0.0001569213,0.0000645189,0.0001347029,0.0001543643],"domain_scores_gemma":[0.999629,0.00004568937,0.00002591868,0.00026628,0.00001573711,0.0000173501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001789883,0.00053006,0.5402699,0.000612135,0.0009397832,0.000008964411,0.001372885,0.036012,0.293998,0.008783007,0.0127727,0.1045217],"study_design_scores_gemma":[0.0004072606,0.0009558229,0.462754,0.00006244819,0.00001205348,5.314611e-7,0.000400772,0.09305356,0.4417701,0.0003809819,0.00005228426,0.000150224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968557,0.00001300283,0.00002568498,0.00002946008,0.00003833299,0.0001026103,0.00001876369,0.0003853829,0.002531077],"genre_scores_gemma":[0.9996872,0.0001021634,0.00003542082,0.000003087404,0.000007089623,0.000008427005,0.000006040129,0.00001195694,0.0001386255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1477721,"threshold_uncertainty_score":0.1995301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603375753631509,"score_gpt":0.2453661096628546,"score_spread":0.2293323521265395,"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."}}