{"id":"W3194991455","doi":"","title":"KLASIFIKASI AUDIO UCAPAN EMOSIONAL MENGGUNAKAN MODEL LSTM","year":2021,"lang":"id","type":"article","venue":"","topic":"Infant Health and Development","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Psychology; Speech recognition; Artificial intelligence; Computer science; Philosophy","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00142125,0.0005934342,0.0008572799,0.0001901731,0.002411296,0.00004917715,0.0003699187,0.0009360805,0.02058921],"category_scores_gemma":[0.0004488918,0.0005513519,0.0002496434,0.0006074795,0.0001032706,0.0002386074,0.0006311597,0.001909752,0.01205776],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834004,"about_ca_system_score_gemma":0.014749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002163208,"about_ca_topic_score_gemma":0.0006377968,"domain_scores_codex":[0.9928262,0.0008791539,0.001869324,0.001091882,0.001072674,0.002260718],"domain_scores_gemma":[0.9956813,0.0006109405,0.000384783,0.0009781949,0.0008617849,0.001482949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003560353,0.0009842089,0.01798476,0.003414687,0.0002042942,0.0002665426,0.01970746,0.000211136,0.0007942354,0.07418749,0.8743675,0.00752165],"study_design_scores_gemma":[0.006839046,0.0002640208,0.04204815,0.002249324,0.0001910577,0.0001119776,0.01750136,0.04617321,0.002378365,0.008662425,0.871043,0.002538076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1244205,0.004821669,0.007828296,0.05726266,0.01067914,0.002519824,0.000305435,0.0005547013,0.7916077],"genre_scores_gemma":[0.1925786,0.003540379,0.04256912,0.07023663,0.001398079,0.0002172075,0.0005309827,0.0001589341,0.68877],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1028377,"threshold_uncertainty_score":0.9996938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07524090343845617,"score_gpt":0.4001423356374528,"score_spread":0.3249014321989966,"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."}}