{"id":"W4414717790","doi":"10.33005/jasid.v1i1.5","title":"Comparative Analysis of Stochastic Gradient Descent Optimization and Adaptive Moment Estimation in Emotion Classification from Audio Using Convolutional Neural Network","year":2025,"lang":"en","type":"article","venue":"Jurnal Aplikasi Sains Data","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Stochastic gradient descent; Robustness (evolution); Deep learning; Modalities; Artificial neural network; Field (mathematics); Gradient descent","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420522,0.0001278479,0.000304067,0.0003564637,0.0001553061,0.00009944885,0.0004012241,0.00004677336,0.000003989858],"category_scores_gemma":[0.00002709145,0.0001262891,0.00003213698,0.001482703,0.00007519825,0.0007395,0.000318935,0.0001189343,3.054194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312165,"about_ca_system_score_gemma":0.0001252394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000117792,"about_ca_topic_score_gemma":0.0000732815,"domain_scores_codex":[0.9985648,0.0001188363,0.0004456173,0.0004512089,0.0002530048,0.0001665695],"domain_scores_gemma":[0.9989675,0.0001183013,0.0003513856,0.0003990821,0.0001173739,0.00004638777],"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":[0.00002433982,0.00007703387,0.002172419,0.000007853066,0.0001599944,6.581704e-7,0.0004147997,0.9837704,0.0001282062,0.006288294,0.00006803127,0.006887959],"study_design_scores_gemma":[0.000274953,0.00001813078,0.1081429,0.0001240299,0.0001946905,8.927269e-7,0.00007935466,0.8903427,0.00001501982,0.000713576,0.000005206973,0.00008859773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460953,0.0001905744,0.8530678,0.0002771186,0.0001193037,0.0001566495,0.00005900641,0.00001562895,0.00001861028],"genre_scores_gemma":[0.8611787,0.000008714861,0.1382566,0.00008933731,0.00002404978,0.00000426282,0.0004335309,0.000002186383,0.000002616847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7150834,"threshold_uncertainty_score":0.514992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08875211784956855,"score_gpt":0.3174003723557071,"score_spread":0.2286482545061385,"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."}}