{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002281375,0.00007110166,0.00006811948,0.00008215855,0.00005334672,0.00001366058,0.00005958984,0.000106736,0.004910675],"category_scores_gemma":[0.00003246175,0.00006377736,0.00004135516,0.00009268717,0.00002466665,0.00007054595,0.000008427797,0.00008539032,0.006306472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001560719,"about_ca_system_score_gemma":0.000004437074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001533257,"about_ca_topic_score_gemma":0.000005435224,"domain_scores_codex":[0.9992944,0.000127767,0.0001515024,0.0002086105,0.00008738092,0.0001303516],"domain_scores_gemma":[0.9995818,0.00003987365,0.00005590294,0.0002164221,0.00005553203,0.00005043747],"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":[0.00006582894,0.0003465232,0.002079253,0.00001347162,0.00001932028,0.000001544991,0.0005382398,8.797683e-7,0.003180878,0.1038306,0.04183614,0.8480874],"study_design_scores_gemma":[0.001187731,0.0006260661,0.9292958,0.000024032,0.00003684009,0.00008735526,0.001052548,0.002414864,0.002026534,0.009573417,0.05339593,0.0002788795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.294763,0.000008986111,0.0316161,0.001219014,0.0009617175,0.0001566279,9.206902e-7,0.0002135665,0.67106],"genre_scores_gemma":[0.9710938,0.000003994443,0.0008802077,0.0006309858,0.0002303231,0.00001927382,0.00005938282,0.00001149765,0.02707054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9272165,"threshold_uncertainty_score":0.995999,"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."}}