{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001740093,0.0009475504,0.0009461849,0.0004766352,0.001694457,0.001686608,0.002634814,0.0003780419,0.000280109],"category_scores_gemma":[0.0008511748,0.0009867739,0.0003347072,0.002358023,0.0002825001,0.001090129,0.002084275,0.001387088,0.001257032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194176,"about_ca_system_score_gemma":0.0008997556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671996,"about_ca_topic_score_gemma":0.002249961,"domain_scores_codex":[0.9922441,0.001057914,0.00135348,0.002645489,0.001302506,0.001396473],"domain_scores_gemma":[0.9934929,0.0005393567,0.000663113,0.003805188,0.0007204714,0.0007789451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898386,0.004940486,0.03824423,0.001045662,0.002433329,0.001257028,0.04182272,0.001290957,0.1165991,0.2144434,0.1820758,0.3956575],"study_design_scores_gemma":[0.006287312,0.001874749,0.1374926,0.0009858719,0.00131496,0.0009488029,0.008048519,0.1127553,0.07332104,0.002744289,0.6483561,0.005870494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6883694,0.002566845,0.1277772,0.0310157,0.004286127,0.002564859,0.0002822721,0.003196242,0.1399413],"genre_scores_gemma":[0.8879409,0.0001734856,0.05052887,0.001194008,0.0007593114,0.0001538935,0.001066064,0.0001575843,0.05802585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662804,"threshold_uncertainty_score":0.9996052,"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."}}