{"id":"W3128100849","doi":"","title":"PREDIKSI PENDAPATAN ASLI DAERAH (PAD) KABUPATEN LANGKAT MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK","year":2021,"lang":"id","type":"article","venue":"","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Backpropagation; Artificial neural network; Revenue; Government (linguistics); Training (meteorology); Computer science; Artificial intelligence; Finance; Business; Geography","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":[0.0003489619,0.0006877876,0.000489347,0.0002938902,0.0003416803,0.001023696,0.0004520002,0.0005189172,0.004560015],"category_scores_gemma":[0.000609951,0.0002080288,0.0003413749,0.0003690253,0.0002214768,0.0008213287,0.0004415729,0.0008107318,0.001013805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606053,"about_ca_system_score_gemma":0.0008152082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006312557,"about_ca_topic_score_gemma":0.006864256,"domain_scores_codex":[0.9998662,0.00001834735,0.00001248473,0.00004242802,0.00003070957,0.00002968729],"domain_scores_gemma":[0.9998493,0.00004823142,0.00001241572,0.000007293677,0.0000758676,0.000006753157],"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":[0.0004961924,0.0002654073,0.007486955,0.0005399989,0.0001195133,0.0004015393,0.000200213,0.2484318,0.009844078,0.007465953,0.00750997,0.7172382],"study_design_scores_gemma":[0.00003593103,0.0001494466,0.003791568,0.00008735935,0.00007324074,0.0002058254,0.0001161375,0.9731515,0.008777494,0.003645841,0.00993651,0.00002912979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3901042,0.006252092,0.5371796,0.001629624,0.0010319,0.000323377,0.001049266,0.004233969,0.05819593],"genre_scores_gemma":[0.874118,0.002023537,0.09188785,0.0002591549,0.00006714844,0.0001690904,0.0009064954,0.00009644325,0.03047239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006312557,"threshold_uncertainty_score":0.0152548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299731064627855,"score_gpt":0.2690634282100869,"score_spread":0.2460661175638084,"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."}}