{"id":"W2958501180","doi":"10.25077/jmu.8.2.84-92.2019","title":"PERAMALAN BEBAN LISTRIK JANGKA MENENGAH DI WILAYAH TELUK KUANTAN DENGAN METODE FUZZY TIME SERIES CHENG","year":2019,"lang":"id","type":"article","venue":"Jurnal Matematika UNAND","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Mathematics","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":[0.000596513,0.0007527837,0.0005377679,0.0009817885,0.0007414293,0.002424904,0.0005906158,0.0007656351,0.01504091],"category_scores_gemma":[0.001326577,0.0002651466,0.000618653,0.001152596,0.0004817441,0.00142856,0.000736776,0.00115428,0.003989994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401566,"about_ca_system_score_gemma":0.001211267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007992209,"about_ca_topic_score_gemma":0.00716843,"domain_scores_codex":[0.9994369,0.00005954061,0.0000398255,0.0001392306,0.0002666235,0.00005780629],"domain_scores_gemma":[0.9993631,0.0001509288,0.00006716357,0.00005050696,0.0003223227,0.00004589183],"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":[0.001103142,0.0001886974,0.01765285,0.001322995,0.0001937283,0.001789081,0.002153366,0.06402594,0.131411,0.07479971,0.02304915,0.6823105],"study_design_scores_gemma":[0.00008133209,0.0006800987,0.0638096,0.0004115392,0.0002641702,0.002528301,0.005670049,0.3532927,0.1384754,0.0548274,0.3795306,0.0004288032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2324368,0.005642616,0.5919963,0.005486317,0.001421993,0.0003115413,0.002542484,0.002581385,0.1575807],"genre_scores_gemma":[0.691502,0.004706769,0.1090836,0.0005640678,0.000382682,0.0001715765,0.001501745,0.0003366834,0.1917509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504091,"threshold_uncertainty_score":0.05031681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009094762381076746,"score_gpt":0.2268168415286901,"score_spread":0.2177220791476134,"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."}}