{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009759031,0.00210334,0.001084159,0.0009322934,0.0005563248,0.001967823,0.0008991713,0.00109019,0.01080833],"category_scores_gemma":[0.003298427,0.0005224071,0.001366674,0.0006611638,0.0004054731,0.002005982,0.001128978,0.001792835,0.006018545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009172545,"about_ca_system_score_gemma":0.001077404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135331,"about_ca_topic_score_gemma":0.01586874,"domain_scores_codex":[0.9990882,0.0001280764,0.00006022718,0.0003144443,0.0002900636,0.0001190077],"domain_scores_gemma":[0.9992909,0.0002562753,0.00003086102,0.00009216632,0.0002935443,0.00003623674],"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":[0.001065269,0.0002904466,0.004922413,0.000659947,0.0003257144,0.0004363036,0.0003116307,0.03975567,0.06438304,0.001730241,0.03021343,0.8559058],"study_design_scores_gemma":[0.00008536964,0.000763107,0.02352313,0.0003103134,0.000607815,0.0008490622,0.0006115228,0.8380721,0.08548272,0.005939024,0.04355638,0.0001994785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2602188,0.01354083,0.6345124,0.00332844,0.003733963,0.0004304388,0.009437962,0.02485434,0.04994288],"genre_scores_gemma":[0.7530279,0.005179063,0.1643058,0.001082132,0.0005957737,0.0003732722,0.01346594,0.001355978,0.06061426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135331,"threshold_uncertainty_score":0.03615743,"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."}}