{"id":"W3209632781","doi":"10.47709/digitech.v1i2.1111","title":"PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI PENJUALAN MOBIL DENGAN MENGGUNAKAN METODE BACKPROPAGATION (Studi Kasus : Toyota Auto 2000 Medan)","year":2021,"lang":"id","type":"article","venue":"Digital Transformation Technology","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Medicine; 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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005514398,0.0006863932,0.0007434106,0.0009663328,0.0005669566,0.001588209,0.001974983,0.0005220743,0.00004856489],"category_scores_gemma":[0.0001092242,0.0007461283,0.0002774391,0.003601879,0.0002657429,0.005059989,0.0005580292,0.0008225475,0.0003947938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132611,"about_ca_system_score_gemma":0.0006398647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002493173,"about_ca_topic_score_gemma":0.0000949859,"domain_scores_codex":[0.995362,0.00009019195,0.001219139,0.001199992,0.0009151245,0.001213523],"domain_scores_gemma":[0.9974849,0.0001005502,0.000254598,0.001344836,0.0004956295,0.0003194369],"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":[0.00003767659,0.0009896073,0.0008918883,0.0006305339,0.0004857876,0.0002859975,0.02554224,0.008049753,0.02535048,0.07525665,0.0005969114,0.8618825],"study_design_scores_gemma":[0.003017744,0.001179393,0.002149651,0.0005194622,0.0001556906,0.001051484,0.003634981,0.6075389,0.3071337,0.009076285,0.06181413,0.002728559],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3496342,0.001235901,0.6271959,0.007411789,0.002230768,0.0008532379,0.00006042584,0.002046249,0.009331546],"genre_scores_gemma":[0.9944068,0.0002360374,0.003755894,0.0001671142,0.0001661105,0.00008001344,0.0001371325,0.00005034083,0.00100062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8591539,"threshold_uncertainty_score":0.999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161294013788214,"score_gpt":0.2175053634284333,"score_spread":0.2058924232905512,"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."}}