{"id":"W3127245612","doi":"","title":"JARINGAN SARAF TIRUAN MEMPREDIKSI PENJUALAN MAKANAN DAN MINUMAN DENGAN MENGGUNAKAN METODE BACKPROPAGATION (STUDI KASUS : PONDOK JATI RESTO BINJAI","year":2021,"lang":"id","type":"article","venue":"","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Backpropagation; Popularity; Advertising; Food science; Business; Mathematics; Computer science; Artificial neural network; Artificial intelligence; Psychology; Chemistry","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":[0.0006766391,0.0008597604,0.0005494386,0.0004216043,0.0005084053,0.001698227,0.0007218881,0.001020858,0.009547583],"category_scores_gemma":[0.001465589,0.000334637,0.0005309638,0.0004776009,0.0004705345,0.001854012,0.0007270593,0.0014156,0.003559947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986946,"about_ca_system_score_gemma":0.0007663275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449898,"about_ca_topic_score_gemma":0.004921042,"domain_scores_codex":[0.999727,0.00004383632,0.00002339594,0.00008302375,0.00008854942,0.00003424139],"domain_scores_gemma":[0.9995996,0.0001251086,0.0000320916,0.00002098146,0.0002038477,0.00001832024],"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":[0.0005310122,0.0002626364,0.00306508,0.0008839761,0.0001998621,0.0006649605,0.000668984,0.05803679,0.0265297,0.01469809,0.02105174,0.8734072],"study_design_scores_gemma":[0.0001227885,0.000720811,0.009008797,0.0007445208,0.0003920267,0.001726775,0.0008868646,0.7397693,0.05447871,0.02027643,0.1716391,0.0002337327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1643459,0.02532606,0.6881162,0.007734536,0.00307192,0.0003699606,0.0005916685,0.00456154,0.1058821],"genre_scores_gemma":[0.6362997,0.02009429,0.2084094,0.00156566,0.0006385052,0.0002523371,0.0008062676,0.0005141194,0.1314197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009547583,"threshold_uncertainty_score":0.03193986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560869656602642,"score_gpt":0.2805885057824232,"score_spread":0.2549798092163968,"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."}}