{"id":"W1907533041","doi":"10.1109/isspit.2014.7300584","title":"Preliminary Arabic speech emotion classification","year":2014,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Anger; Formant; Arabic; Happiness; Speech recognition; Perception; Emotion recognition; Psychology; Modern Standard Arabic; Computer science; Linguistics; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006208071,0.001076842,0.0004920517,0.0007413211,0.0005796904,0.001128969,0.0003561307,0.0005268435,0.01470867],"category_scores_gemma":[0.002102207,0.0001152664,0.0005597179,0.0003712398,0.0001930852,0.0007463489,0.0005368072,0.0006126334,0.008425349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795455,"about_ca_system_score_gemma":0.0003300832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002341511,"about_ca_topic_score_gemma":0.002515754,"domain_scores_codex":[0.9995133,0.0000853811,0.00005493399,0.0001058864,0.0001513197,0.00008918385],"domain_scores_gemma":[0.9991691,0.0001450138,0.0000214298,0.00006638966,0.0005527678,0.00004528621],"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":[0.001323681,0.0002694635,0.005581389,0.0003576309,0.00005094285,0.0004715094,0.0005321389,0.003500033,0.2250386,0.001375514,0.01466799,0.7468312],"study_design_scores_gemma":[0.0001354237,0.001457146,0.1354238,0.0002396248,0.0002837881,0.002391923,0.003439406,0.3002481,0.4101122,0.00283123,0.1432297,0.0002076672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5870977,0.003740895,0.3198605,0.001108471,0.001655069,0.001285001,0.007300718,0.005224036,0.07272769],"genre_scores_gemma":[0.7405121,0.001695898,0.1832565,0.000332262,0.0004481788,0.0007127487,0.01403276,0.0003388879,0.05867073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470867,"threshold_uncertainty_score":0.04920542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162447920340434,"score_gpt":0.3191105160021656,"score_spread":0.2674860367987612,"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."}}