{"id":"W2404670860","doi":"10.1037/emo0000086","title":"Alexithymia predicts arousal-based processing deficits and discordance between emotion response systems during emotional imagery.","year":2015,"lang":"en","type":"article","venue":"Emotion","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alexithymia; Psychology; Arousal; Facial electromyography; Valence (chemistry); Anger; Toronto Alexithymia Scale; Facial expression; Cognitive psychology; Developmental psychology; Clinical psychology; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003041725,0.0002647578,0.0001961647,0.000624215,0.0002341481,0.0004523779,0.0001480327,0.0002647985,0.002198467],"category_scores_gemma":[0.00189752,0.000172247,0.0002783137,0.0002629982,0.0003592847,0.0001988249,0.0005139793,0.0004181688,0.0001984232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174387,"about_ca_system_score_gemma":0.0001349558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057013,"about_ca_topic_score_gemma":0.003124906,"domain_scores_codex":[0.9997379,0.00005430174,0.00003831946,0.00005357987,0.00007224723,0.0000436152],"domain_scores_gemma":[0.9989004,0.0001824354,0.0006169003,0.00006818563,0.00007471456,0.0001573266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002294741,0.00008153013,0.9887622,0.00002194207,0.00008447866,0.0001461563,0.000318925,0.0001021009,0.006865906,0.00006874488,0.00008020813,0.00323835],"study_design_scores_gemma":[0.000003310048,0.00007503033,0.9989902,0.000002912748,0.000008274904,0.0003261128,0.0001171089,0.0002229932,0.0001752453,0.00004190057,0.00003523802,0.000001590599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993844,0.00002650601,0.0001064048,0.00001162953,0.000001302286,0.000006978413,0.00004077086,0.000003423761,0.000418587],"genre_scores_gemma":[0.9996514,0.00002027047,0.0001231261,0.000004331744,0.000001477455,0.000004678932,0.0000956201,0.000001064739,0.00009795293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002198467,"threshold_uncertainty_score":0.007354558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938407381557237,"score_gpt":0.2781623947340008,"score_spread":0.2487783209184285,"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."}}