{"id":"W3202873508","doi":"10.1155/2021/2053795","title":"Facial Emotion Recognition Predicts Alexithymia Using Machine Learning","year":2021,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alexithymia; Emotion recognition; Facial expression; Psychology; Facial recognition system; Computer science; Cognitive psychology; Artificial intelligence; Pattern recognition (psychology); Clinical psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000562314,0.00008542881,0.0001011918,0.00005754792,0.0001867274,0.00004501222,0.00003352598,0.0000269393,0.00004730803],"category_scores_gemma":[0.0001389631,0.0000785812,0.00003119928,0.0002548254,0.0001022091,0.0001367186,0.00002924685,0.00009256203,0.00001470149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001570249,"about_ca_system_score_gemma":0.00005961934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000879635,"about_ca_topic_score_gemma":0.000001197004,"domain_scores_codex":[0.9992062,0.00003319259,0.0001520238,0.0002685872,0.0002165406,0.0001235],"domain_scores_gemma":[0.9996675,0.00004516603,0.00005180785,0.000056141,0.00009562082,0.00008372514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000380211,0.002676059,0.3722566,0.0005087467,0.00009143278,0.0008671246,0.003813446,0.1996083,0.04551305,0.002577724,0.00008718088,0.3716201],"study_design_scores_gemma":[0.0003557871,0.0002969015,0.06320876,0.0003769656,0.00002937001,0.0006970215,0.0001845026,0.9139338,0.007286964,0.01320647,0.0002805881,0.0001428336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942757,0.0001897241,0.1044091,0.0002223142,0.0002327679,0.0001058259,0.000009646139,0.00003425485,0.000520635],"genre_scores_gemma":[0.995437,0.0001940585,0.003536103,0.0005744353,0.00003076284,0.000002545321,0.00005137949,0.000006262075,0.0001674008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7143255,"threshold_uncertainty_score":0.3204449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09380772677505815,"score_gpt":0.328687194981496,"score_spread":0.2348794682064378,"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."}}