{"id":"W4386764925","doi":"10.1109/iccce58854.2023.10246098","title":"MFCCs and TEO-MFCCs for Stress Detection on Women Gender through Deep Learning Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Higher Education","keywords":"Computer science; Stress (linguistics); Artificial intelligence; Speech recognition","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002025037,0.00009631907,0.000139615,0.0002545232,0.0001603621,0.0000286113,0.00003521134,0.0001135352,0.001175971],"category_scores_gemma":[0.00004187445,0.0000865889,0.000077605,0.0005688938,0.0000200877,0.00006113427,0.00001467944,0.0001144657,0.0002387293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000306947,"about_ca_system_score_gemma":0.000002894315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003489718,"about_ca_topic_score_gemma":0.0001554969,"domain_scores_codex":[0.9991496,0.00008306937,0.0001414513,0.0002862849,0.00008997227,0.0002496397],"domain_scores_gemma":[0.9996047,0.0001285117,0.00005405787,0.0001122141,0.0000484656,0.00005203548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006148553,0.0004780256,0.02578803,0.0001606163,0.00399525,0.00001363342,0.04666244,0.003942919,0.00191023,0.008053086,0.002572852,0.905808],"study_design_scores_gemma":[0.007810354,0.002663955,0.7537569,0.00003432285,0.001577093,0.00002152274,0.1323517,0.02830644,0.0105342,0.01432843,0.04714293,0.001472179],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944436,0.00002135839,0.06358832,0.0001170918,0.000383567,0.0002362035,0.000009752075,0.0003299038,0.04087021],"genre_scores_gemma":[0.9884772,0.00004343477,0.0001701279,0.0002601283,0.000103282,0.0001269584,0.00007887003,0.00001736502,0.01072261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9043359,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06174997835281629,"score_gpt":0.3487986392825458,"score_spread":0.2870486609297295,"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."}}