{"id":"W4391409096","doi":"10.1109/wsc60868.2023.10408424","title":"Emotion Classification Through Speech Data Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Speech recognition; Natural language processing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003247834,0.00006619812,0.00009954723,0.0002264906,0.00006447723,0.00002369689,0.0001922053,0.00008905803,0.008429738],"category_scores_gemma":[0.00003301829,0.00006011147,0.00005651144,0.001638345,0.00002155729,0.0001839063,0.0000534069,0.00007065372,0.01246284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001262517,"about_ca_system_score_gemma":0.000007014324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300829,"about_ca_topic_score_gemma":0.0001344981,"domain_scores_codex":[0.999078,0.0000909404,0.0001780518,0.0003748614,0.0001296215,0.0001485228],"domain_scores_gemma":[0.9990394,0.00004067581,0.00005763039,0.0007840103,0.00004722917,0.00003111076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003253833,0.0003822626,0.01520631,0.00001580853,0.001400887,0.00002056966,0.002066001,0.00001308153,0.001535663,0.07456054,0.5856825,0.3190838],"study_design_scores_gemma":[0.0006952002,0.0000500229,0.8976855,0.000006259059,0.0007535006,0.00001058457,0.005596739,0.01529928,0.0002741707,0.006209455,0.07313782,0.0002814387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1691231,0.00001829856,0.08887501,0.004735491,0.001416002,0.0002727988,0.0001074389,0.001102726,0.7343491],"genre_scores_gemma":[0.9513304,0.00004934608,0.001537816,0.0004477024,0.0001694786,0.00001124823,0.006452436,0.00001203949,0.03998949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8824792,"threshold_uncertainty_score":0.9924767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2831673083804563,"score_gpt":0.4339730924590747,"score_spread":0.1508057840786184,"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."}}