{"id":"W4391772304","doi":"10.55893/epsilon.v21i2.109","title":"Analisis Pengaruh Penggunaan AAU pada Swap RRU terhadap Kualitas Layanan Telekomunikasi di Wilayah Pusdikom Cibeureum Cimahi","year":2024,"lang":"en","type":"article","venue":"EPSILON Journal of Electrical Engineering and Information Technology","topic":"Education and Military Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Telecommunications; Upgrade; Swap (finance); Economic shortage; Tower; Population; Telecommunications equipment; Computer science; Engineering; Business","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":[0.001433006,0.0007416285,0.0006123334,0.002810126,0.00104471,0.002873169,0.0004479666,0.0005531903,0.01520154],"category_scores_gemma":[0.003734992,0.0002456848,0.0004778844,0.00327676,0.0006847428,0.00172555,0.0008243702,0.000932047,0.003704012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007009065,"about_ca_system_score_gemma":0.0008655929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008193852,"about_ca_topic_score_gemma":0.009472358,"domain_scores_codex":[0.9986032,0.0002418029,0.000119408,0.000241805,0.0005946454,0.0001991666],"domain_scores_gemma":[0.996585,0.001587578,0.0003762188,0.0001257227,0.001166001,0.0001593322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00200477,0.0007127911,0.4726971,0.003044022,0.0005652948,0.005744743,0.02781297,0.002671941,0.02793566,0.005654606,0.02240618,0.4287499],"study_design_scores_gemma":[0.0000308026,0.0005595295,0.7344248,0.0007629845,0.0004323585,0.003544634,0.1026382,0.005938611,0.01655686,0.002657458,0.1322768,0.0001769498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931029,0.006015658,0.006595233,0.0009749355,0.0003605621,0.0001878197,0.00309734,0.0003286069,0.0514109],"genre_scores_gemma":[0.9656579,0.003290684,0.005792546,0.00017399,0.00008669798,0.0001183322,0.002074282,0.0001066128,0.0226989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520154,"threshold_uncertainty_score":0.05085421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006285472776381707,"score_gpt":0.2601686460668889,"score_spread":0.2538831732905072,"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."}}