{"id":"W2557150277","doi":"10.1121/1.4970917","title":"Importance of F0 for predicting vocal emotion categorization","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sadness; Categorization; Psychology; Prosody; Disgust; Duration (music); Emotional prosody; Anger; Perception; Surprise; Happiness; Formant; Set (abstract data type); Phrase; Cognitive psychology; Acoustics; Speech recognition; Communication; Social psychology; Linguistics; Vowel; 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":[0.00112171,0.000367688,0.0002853217,0.001399374,0.0002348752,0.0006471755,0.0001563527,0.000539682,0.002062299],"category_scores_gemma":[0.005740936,0.000170686,0.0002570006,0.0003901156,0.0002769241,0.0006090988,0.0002293112,0.0002549683,0.0007102703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844016,"about_ca_system_score_gemma":0.0001312851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003386726,"about_ca_topic_score_gemma":0.004318801,"domain_scores_codex":[0.9996902,0.0000684547,0.00002522312,0.00008109738,0.00009263448,0.00004247365],"domain_scores_gemma":[0.9967923,0.002354053,0.000199013,0.0001063178,0.0003562915,0.0001920524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002301272,0.000166197,0.6593465,0.0002023878,0.000169432,0.0003504029,0.0008642168,0.002633594,0.1883999,0.0002137705,0.0009971897,0.1443551],"study_design_scores_gemma":[0.00001160334,0.0002607564,0.9874696,0.00001765458,0.00004251389,0.0004005167,0.0002001281,0.005718131,0.005239906,0.0001629887,0.000449233,0.00002711729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875495,0.0004576797,0.006846109,0.00003005531,0.00002637575,0.00004224951,0.0004389328,0.0001214647,0.004487576],"genre_scores_gemma":[0.9956028,0.0001886862,0.003460637,0.00001353005,0.00002437989,0.00002131721,0.0003059874,0.00002477178,0.000357994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003386726,"threshold_uncertainty_score":0.006899059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494449099472532,"score_gpt":0.3251014895772182,"score_spread":0.3001569985824928,"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."}}