{"id":"W4319429859","doi":"10.24843/spektrum.2020.v07.i01.p15","title":"PENGGUNAAN KAPASITOR BANK UNTUK MEMPERBAIKI FAKTOR DAYA DAN MENGURANGI RUGI-RUGI DAYA MENGGUNAKAN FUZZY LOGIC CONTROLLER DI QUEST HOTEL KUTA BADUNG","year":2020,"lang":"en","type":"article","venue":"Jurnal SPEKTRUM","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Power factor; Capacitor; AC power; Fuzzy logic; Electrical engineering; Controller (irrigation); Power (physics); Physics; Computer science; Engineering; Artificial intelligence; Voltage","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":[0.00041064,0.0006940528,0.0006545516,0.0005803317,0.000785441,0.002923614,0.0005808663,0.0007663501,0.0163638],"category_scores_gemma":[0.0005893633,0.0002317934,0.0003463832,0.0003286031,0.0004119837,0.0008341804,0.0006035935,0.0008045814,0.005618421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000793292,"about_ca_system_score_gemma":0.0009970745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682683,"about_ca_topic_score_gemma":0.005343236,"domain_scores_codex":[0.9995816,0.00003575618,0.00003224776,0.00008719859,0.0002059161,0.0000571864],"domain_scores_gemma":[0.9997615,0.00003390524,0.00001721309,0.00001793639,0.0001503411,0.00001914187],"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":[0.001326888,0.0003598005,0.003511556,0.0009483459,0.0001085014,0.001346169,0.0009493394,0.02424989,0.1143909,0.0161711,0.04539246,0.791245],"study_design_scores_gemma":[0.0002659169,0.0007707255,0.01296506,0.0004926849,0.000291676,0.00243987,0.001771982,0.2599607,0.1615072,0.008790528,0.5503502,0.0003934422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2035502,0.01305506,0.4281268,0.003970944,0.00346586,0.0008280752,0.001479979,0.01448968,0.3310333],"genre_scores_gemma":[0.6636093,0.006047728,0.08584915,0.0005791037,0.0002735876,0.0003690786,0.00119482,0.0003454947,0.2417317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0163638,"threshold_uncertainty_score":0.05474234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020839350080703,"score_gpt":0.2041372724621729,"score_spread":0.1939288789613659,"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."}}