{"id":"W4417483030","doi":"10.58526/jsret.v4i4.923","title":"Comparative Analysis of Adam and RMSprop Optimizers on Bi-LSTM Models for Indonesian–Ngapak Translation","year":2025,"lang":"","type":"article","venue":"Journal of Scientific Research Education and Technology (JSRET)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction","keywords":"Adaptability; Translation (biology); Convergence (economics); Machine translation; Sentence; BLEU; Mechanism (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.008055463,0.0002759509,0.001027135,0.01850613,0.0009282604,0.0004914539,0.001410438,0.0006090347,0.0000106699],"category_scores_gemma":[0.0007880097,0.000251125,0.0002052189,0.015253,0.003631929,0.0009305675,0.0002305377,0.001110902,0.000001868471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617116,"about_ca_system_score_gemma":0.002959564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244932,"about_ca_topic_score_gemma":0.00003782892,"domain_scores_codex":[0.9953326,0.0004733844,0.001510527,0.0009095587,0.001225266,0.0005486567],"domain_scores_gemma":[0.9911556,0.001281627,0.001049578,0.000842164,0.005488302,0.0001827833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005121939,0.002519475,0.006848864,0.0005522019,0.0035668,0.00000523777,0.007182573,0.003446192,0.01716661,0.7184319,0.01028477,0.2294832],"study_design_scores_gemma":[0.002399467,0.001615014,0.00438286,0.001251442,0.0008763924,0.00005804885,0.01345541,0.7939705,0.02245535,0.1552412,0.003857128,0.000437237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995332,0.01088733,0.1391236,0.04426169,0.002567228,0.002145761,0.00004451728,0.00005710339,0.001379546],"genre_scores_gemma":[0.9807032,0.000433505,0.01766689,0.00003679715,0.00003815008,0.00008556298,0.00001013808,0.000008216336,0.00101754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7905242,"threshold_uncertainty_score":0.9999941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359541657811395,"score_gpt":0.4366480217669045,"score_spread":0.300693855985765,"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."}}