{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002132276,0.0002913612,0.0004013896,0.00006272049,0.00008517562,0.00004684595,0.0008549181,0.0006764864,0.02056501],"category_scores_gemma":[0.00008567023,0.0002855884,0.0001373391,0.0000943195,0.0001342876,0.00003350948,0.0002499031,0.0006807568,0.003162314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032674,"about_ca_system_score_gemma":0.000147546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2178684,"about_ca_topic_score_gemma":0.07174536,"domain_scores_codex":[0.9980115,0.0002138517,0.000300264,0.0005972331,0.0003801079,0.0004969909],"domain_scores_gemma":[0.998432,0.0001365889,0.0001154487,0.0009774865,0.00008675754,0.0002516834],"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":[0.00007258393,0.0001028182,0.00001145435,0.00003553915,0.0002165872,0.0003372067,0.0002734361,9.556056e-8,0.00000528645,0.0001583642,0.9978591,0.0009275679],"study_design_scores_gemma":[0.0003628228,0.000166286,0.004985959,0.00001628455,0.00004373346,0.00006939912,0.00005783492,0.000001464441,0.000005897467,0.0004277525,0.9935953,0.0002672901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001302307,0.0005820427,0.000002904634,0.0008151181,0.0008047883,0.0002280308,0.9859863,0.00004402722,0.01152379],"genre_scores_gemma":[0.0000138896,0.0004414708,0.00003978259,0.001075602,0.001251835,0.00006370067,0.9960478,0.00003223445,0.001033663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.146123,"threshold_uncertainty_score":0.9999596,"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."}}