{"id":"W3128320926","doi":"","title":"JARINGAN SYARAF TIRUAN MEMPREDIKSI KEBUTUHAN OBAT-OBATAN MENGGUNAKAN METODE BACKPROPAGATION","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; Process (computing); Government (linguistics); Artificial neural network; Computer science; Layer (electronics); Autonomy; Artificial intelligence","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":[0.000558241,0.001012168,0.001020687,0.0004139547,0.000506726,0.001197788,0.0008061973,0.001038609,0.006406646],"category_scores_gemma":[0.001347401,0.0003357278,0.0006617227,0.0004281256,0.0004937515,0.001153585,0.0005961296,0.001202618,0.001998246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000543871,"about_ca_system_score_gemma":0.00125973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005412786,"about_ca_topic_score_gemma":0.005092572,"domain_scores_codex":[0.9997728,0.00004206409,0.00002462658,0.00005970729,0.00006253172,0.00003818221],"domain_scores_gemma":[0.9996808,0.0001306806,0.00002338529,0.00001659566,0.0001349533,0.00001367678],"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":[0.0008223917,0.0002306853,0.003091161,0.0008798133,0.000227488,0.0005812866,0.0002647762,0.1823602,0.02152814,0.01494821,0.01124086,0.763825],"study_design_scores_gemma":[0.0001270402,0.0002914637,0.002169693,0.0002160318,0.0001607184,0.0007357715,0.0001378827,0.942275,0.0175423,0.01141932,0.02484589,0.00007878664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172045,0.01761492,0.8172842,0.003581677,0.001359012,0.000280234,0.0007067876,0.003897934,0.03807069],"genre_scores_gemma":[0.6994683,0.008989448,0.2443412,0.0008656765,0.000290161,0.0003661817,0.0008966804,0.0004684438,0.04431399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006406646,"threshold_uncertainty_score":0.02143234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959398461914506,"score_gpt":0.2700725048600768,"score_spread":0.2504785202409317,"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."}}