{"id":"W2082500938","doi":"10.1016/j.neuropsychologia.2014.09.044","title":"Alexithymic features and the labeling of brief emotional facial expressions – An fMRI study","year":2014,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Health Metrics and Evaluation","keywords":"Alexithymia; Psychology; Facial expression; Functional magnetic resonance imaging; Cognitive psychology; Toronto Alexithymia Scale; Emotional expression; Developmental psychology; Neuroscience; Clinical psychology; Communication","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":[0.000197248,0.0001238778,0.0002360928,0.00004537515,0.000107156,0.00001570712,0.0001147248,0.00004496172,0.00005886032],"category_scores_gemma":[0.0001265961,0.00006842776,0.00004752938,0.00009116856,0.0001861052,0.0000396751,0.00003233042,0.0001432148,0.000006453784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002853031,"about_ca_system_score_gemma":0.000007915337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002222329,"about_ca_topic_score_gemma":0.000003865712,"domain_scores_codex":[0.9990267,0.0002028323,0.0001909983,0.0002574513,0.0001900149,0.0001320426],"domain_scores_gemma":[0.9993129,0.0001059665,0.00008470358,0.0003913761,0.00003643677,0.00006859121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005111075,0.0132205,0.8611582,0.0001188053,0.0006438947,0.00007449054,0.01105356,0.00002353675,0.03065178,0.009340352,0.00705941,0.06154441],"study_design_scores_gemma":[0.009126563,0.001151812,0.9871383,0.00007720738,0.00006625937,0.0000653603,0.0004512398,0.00005612569,0.00004967759,0.001469142,0.0002774385,0.00007091156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899752,0.00008365564,0.00006407019,0.0007881087,0.0002262645,0.0004617617,0.000005882861,0.00003760459,0.008357453],"genre_scores_gemma":[0.9983959,0.00002528763,0.0003644443,0.0008356005,0.00006744772,0.00001902001,0.00000724457,0.00001376411,0.0002712545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259801,"threshold_uncertainty_score":0.2790403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990460062780245,"score_gpt":0.3058698438913225,"score_spread":0.2859652432635201,"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."}}