{"id":"W3109943296","doi":"10.5683/sp2/e8h2mf","title":"Toronto emotional speech set (TESS)","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sadness; Surprise; Disgust; Psychology; Anger; Happiness; Phrase; Set (abstract data type); Linguistics; Social psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381502,0.004582015,0.001819914,0.003020066,0.00134112,0.001803095,0.00395933,0.002446135,0.04665916],"category_scores_gemma":[0.003602389,0.0006972366,0.001578232,0.002444989,0.0007024435,0.0009482861,0.003042801,0.001762015,0.08405104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909197,"about_ca_system_score_gemma":0.002130613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04838967,"about_ca_topic_score_gemma":0.07884625,"domain_scores_codex":[0.9986223,0.0003109887,0.0001453555,0.0003924536,0.0003364736,0.0001924698],"domain_scores_gemma":[0.9983047,0.0003329263,0.0001209174,0.0005485371,0.0004846423,0.0002082948],"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":[0.0008943559,0.0003653136,0.003006723,0.002038296,0.0001672413,0.0004911732,0.0002324966,0.001567126,0.002562728,0.0007606546,0.9509976,0.03691622],"study_design_scores_gemma":[0.00102881,0.0003281505,0.03891987,0.0006803718,0.0002550596,0.00129564,0.0005030718,0.004179204,0.004391537,0.001195539,0.9470415,0.0001814005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005963435,0.0005217067,0.0007926198,0.00009561933,0.0001705168,0.0002964072,0.9868644,0.00173882,0.003556549],"genre_scores_gemma":[0.00244431,0.00009387656,0.0006588058,0.00002879417,0.00001843806,0.0003506818,0.9947469,0.00008709703,0.001571072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04838967,"threshold_uncertainty_score":0.1560905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605900726288417,"score_gpt":0.3742205360038319,"score_spread":0.3181615287409477,"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."}}