{"id":"W3128430428","doi":"","title":"JARINGAN SYARAF TIRUAN PREDIKSI JUMLAH PENGIRIMAN BARANG MENGGUNAKAN METODE BACKPROPAGATION ( STUDIKASUS: KANTOR POS BINJAI )","year":2021,"lang":"id","type":"article","venue":"","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Backpropagation; Artificial neural network; Computer science; Artificial intelligence; Benchmark (surveying); Process (computing); Machine learning; Indonesian; Geography","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":[0.0008350246,0.0007150719,0.0006021547,0.0005387153,0.00061942,0.002068231,0.0004911148,0.0008886814,0.01063978],"category_scores_gemma":[0.001731748,0.0003000889,0.0003772124,0.0007613918,0.0005262268,0.002205342,0.0008059189,0.001453008,0.003641372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462135,"about_ca_system_score_gemma":0.0008193003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772957,"about_ca_topic_score_gemma":0.001536218,"domain_scores_codex":[0.9996896,0.00005933733,0.0000290037,0.0000891313,0.0001024413,0.00003056216],"domain_scores_gemma":[0.999624,0.0001429603,0.00003606444,0.00002016858,0.000159608,0.00001714106],"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":[0.0003730403,0.0001878654,0.003202072,0.001032736,0.00008713727,0.0008147234,0.0009938742,0.01746562,0.01099525,0.0315889,0.01340134,0.9198574],"study_design_scores_gemma":[0.0001831484,0.001125582,0.0263524,0.002060453,0.0004002657,0.006654206,0.003012371,0.3642128,0.06327359,0.07634152,0.4559695,0.0004141015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2526044,0.05823541,0.4822521,0.01020266,0.003811811,0.0003891645,0.0006741383,0.002533739,0.1892967],"genre_scores_gemma":[0.6950174,0.03301838,0.1589195,0.0008783114,0.0005907984,0.000241276,0.0006362009,0.0004331031,0.110265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063978,"threshold_uncertainty_score":0.03559363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918793801461597,"score_gpt":0.2743457013183178,"score_spread":0.2551577633037018,"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."}}