{"id":"W3152697490","doi":"","title":"JARINGAN SARAF TIRUAN UNTUK MEMPREDIKSI JUMLAH PASIEN RAWAT JALAN BAGI PENGGUNA NARKOBA MENGGUNAKAN METODE BACKPROPAGATION (STUDI KASUS : KANTOR BNN KOTA BINJAI)","year":2020,"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001543463,0.001157793,0.001186058,0.0003534678,0.001404373,0.00145121,0.003954413,0.0004279024,0.0005555784],"category_scores_gemma":[0.0008759434,0.001114886,0.0003932656,0.00234894,0.0003396899,0.001364758,0.002413086,0.001627822,0.003998603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002764546,"about_ca_system_score_gemma":0.0005208559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568375,"about_ca_topic_score_gemma":0.0002234395,"domain_scores_codex":[0.9916748,0.0007798026,0.00150706,0.002963363,0.00147553,0.001599406],"domain_scores_gemma":[0.9942055,0.0005291277,0.0007971884,0.002676593,0.0004722579,0.00131934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006248175,0.003009829,0.03007245,0.001522393,0.00273172,0.0003318398,0.07548551,0.003599302,0.04461375,0.06968138,0.4373978,0.3309292],"study_design_scores_gemma":[0.004089383,0.001970522,0.02159756,0.0002752955,0.0006741075,0.0000974131,0.002436623,0.3845948,0.007197979,0.0005284553,0.5732482,0.003289658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2554414,0.002879068,0.3325633,0.192525,0.006903266,0.007280338,0.0008522022,0.008662241,0.1928932],"genre_scores_gemma":[0.9584345,0.0001926058,0.02575213,0.002847827,0.001529454,0.000188415,0.0006186031,0.0001748496,0.0102616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7029932,"threshold_uncertainty_score":0.9998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420725686816811,"score_gpt":0.2583673266524203,"score_spread":0.2241600697842522,"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."}}