{"id":"W4399634057","doi":"10.5267/j.dsl.2024.4.003","title":"The application of improved backpropagation neural network in college student achievement prediction","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backpropagation; Artificial neural network; Computer science; Artificial intelligence; Machine learning; Mathematics education; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007734144,0.00006996258,0.00008138311,0.00009227188,0.0001021871,0.00006677211,0.0002297553,0.00001854059,6.634348e-7],"category_scores_gemma":[0.00001864199,0.00004847622,0.00002772777,0.0008402322,0.00007561465,0.0002322427,0.00002549934,0.00008882078,0.000005924163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378724,"about_ca_system_score_gemma":0.000008574338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005851833,"about_ca_topic_score_gemma":0.0000203876,"domain_scores_codex":[0.998882,0.0000161847,0.0003101912,0.0001855057,0.0004162627,0.0001898661],"domain_scores_gemma":[0.9995595,0.0001501811,0.00002787456,0.0002079422,0.00002560149,0.00002894998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001385739,0.000006309222,0.001478374,0.000008162476,0.000004086757,0.000001370816,0.0001375854,0.557566,0.3562167,0.0007614479,0.0003354854,0.08347058],"study_design_scores_gemma":[0.0001437156,0.000017887,0.03501036,0.00002851288,0.000002620924,0.000001519451,0.0001033085,0.961202,0.000898138,0.0002036704,0.002336424,0.00005189896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73757,0.0002453037,0.2600482,0.0004544202,0.001131006,0.0004099887,0.000004635564,0.00007271071,0.00006365251],"genre_scores_gemma":[0.9994255,0.0000186874,0.0003281033,0.00006762308,0.00009806427,0.0000478951,0.000001162133,0.000007255128,0.000005735318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036359,"threshold_uncertainty_score":0.1976803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006325942634567618,"score_gpt":0.2539316992898532,"score_spread":0.2476057566552856,"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."}}