{"id":"W7062619522","doi":"","title":"Toronto emotional speech set (TESS) - Older talker_Disgust","year":2010,"lang":"en","type":"other","venue":"TSpace (University of Toronto)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Phrase; Test (biology); Word (group theory); British English; Musical; Voice-onset time","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":[0.00030975,0.0007244252,0.0002833637,0.0003346252,0.0002859592,0.0002765869,0.0003329472,0.0004244401,0.03643365],"category_scores_gemma":[0.001256853,0.0001282627,0.0001810559,0.0001908621,0.0002643278,0.0002399235,0.000630768,0.0002515465,0.004074334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882193,"about_ca_system_score_gemma":0.0002080041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897096,"about_ca_topic_score_gemma":0.008043199,"domain_scores_codex":[0.999803,0.00003182108,0.00002908662,0.00003241603,0.00008150485,0.00002221448],"domain_scores_gemma":[0.9995826,0.0001602232,0.00003648864,0.0000617908,0.00008813984,0.00007071154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01356451,0.001387938,0.02686653,0.002903085,0.0000952122,0.005770778,0.004830682,0.001327274,0.6614962,0.004745,0.04138004,0.2356328],"study_design_scores_gemma":[0.0006795754,0.004927471,0.7811959,0.0002599467,0.0001914017,0.009986711,0.001539152,0.003228356,0.06582024,0.001760934,0.1302646,0.0001457364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8904937,0.0003355621,0.00465657,0.00009099215,0.000196815,0.001777947,0.009619293,0.0005052428,0.09232395],"genre_scores_gemma":[0.9363353,0.0003556068,0.007936213,0.0002843452,0.00007248614,0.001707489,0.01111427,0.000209825,0.04198462],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03643365,"threshold_uncertainty_score":0.1218827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007905431297239196,"score_gpt":0.2174835864149819,"score_spread":0.2095781551177427,"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."}}