{"id":"W7001435314","doi":"","title":"KLASIFIKASI EMOSI BERDASARKAN SUARA DENGAN METODE HIDDEN MARKOV MODEL","year":2022,"lang":"en","type":"dissertation","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Hyporeflexia; TSG101; Dysgeusia; Diafiltration; Articular cartilage damage","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":[0.0005859075,0.0008416814,0.0006982187,0.0004277278,0.0003362153,0.00154241,0.0004875366,0.0006308104,0.01349331],"category_scores_gemma":[0.001775371,0.000358876,0.0008686702,0.0003156794,0.0003372068,0.001269898,0.0004410944,0.0009821811,0.004736724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000506684,"about_ca_system_score_gemma":0.0006376411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003870224,"about_ca_topic_score_gemma":0.004206963,"domain_scores_codex":[0.9996381,0.00009296259,0.00002798488,0.0001107838,0.000088156,0.00004199377],"domain_scores_gemma":[0.9995108,0.0002984414,0.00003461933,0.00003263314,0.0001096427,0.00001383232],"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":[0.001204266,0.0004562339,0.01640763,0.001179722,0.0004729906,0.001115102,0.0009145617,0.07035523,0.04105649,0.02518108,0.01416548,0.8274912],"study_design_scores_gemma":[0.0000945155,0.0005293021,0.02416551,0.0003547099,0.0006145399,0.001566074,0.0005917902,0.8837113,0.02162563,0.03031335,0.03621991,0.000213376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1473436,0.005134347,0.8062844,0.001516202,0.0009113164,0.0002355902,0.002741772,0.004210223,0.03162262],"genre_scores_gemma":[0.8098533,0.004080506,0.1322808,0.0003405393,0.0002217996,0.0002999975,0.002536571,0.0003582135,0.05002831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01349331,"threshold_uncertainty_score":0.04513961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008111126114765726,"score_gpt":0.1965150076623705,"score_spread":0.1884038815476048,"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."}}