{"id":"W2803193013","doi":"10.1371/journal.pone.0196391","title":"The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multisensory perception and integration","field":"Psychology","cited_by":1794,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Phonak; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Disgust; Surprise; Facial expression; Psychology; Emotional expression; Set (abstract data type); Audiology; Face (sociological concept); Speech recognition; Cognitive psychology; Anger; Computer science; Linguistics; Communication; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008317394,0.0006609934,0.00058119,0.002066228,0.0003964784,0.0006599069,0.0006666451,0.0004775055,0.01648395],"category_scores_gemma":[0.001721273,0.0001976511,0.0003124412,0.001189766,0.0003318005,0.0005755169,0.0009981779,0.0002837554,0.006916466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080991,"about_ca_system_score_gemma":0.0003527855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382893,"about_ca_topic_score_gemma":0.006758539,"domain_scores_codex":[0.9993103,0.0001533001,0.000114749,0.000189248,0.0001836719,0.00004881641],"domain_scores_gemma":[0.9990252,0.0002646263,0.00008285969,0.0002299769,0.0002738011,0.0001235],"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":[0.006078039,0.001017041,0.03912986,0.006272786,0.0004205191,0.002759006,0.002802826,0.002562946,0.1926124,0.001654978,0.1472732,0.5974164],"study_design_scores_gemma":[0.0004659568,0.001205968,0.7332296,0.0003621359,0.0003639716,0.005892108,0.001922761,0.006789816,0.03284668,0.001402531,0.2152071,0.0003113406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5865638,0.003496118,0.03164602,0.0001794741,0.0003149076,0.00211055,0.3374414,0.004808002,0.03343958],"genre_scores_gemma":[0.4650788,0.002006391,0.03882546,0.0001459491,0.0002233014,0.003805743,0.4672062,0.001457845,0.02125019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648395,"threshold_uncertainty_score":0.05514437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452132818123119,"score_gpt":0.3374689515499946,"score_spread":0.2829476233687634,"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."}}