{"id":"W2183264611","doi":"10.1016/j.psychres.2015.04.044","title":"Measurement equivalence of the Toronto Structured Interview for Alexithymia across language, gender, and clinical status","year":2015,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; University of Toronto; Mount Sinai Hospital; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Differential item functioning; Psychology; Equivalence (formal languages); Alexithymia; German; Ordered logit; Clinical psychology; Logistic regression; Developmental psychology; Psychometrics; Item response theory; Linguistics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008945438,0.0004668421,0.000628041,0.002137239,0.001058392,0.001163216,0.0007836101,0.0005206254,0.001946727],"category_scores_gemma":[0.03164102,0.0002952801,0.001200052,0.001245388,0.001274395,0.0008556381,0.00179365,0.0006967766,0.0003004611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263185,"about_ca_system_score_gemma":0.00245055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344638,"about_ca_topic_score_gemma":0.05185083,"domain_scores_codex":[0.9902857,0.004173522,0.001136479,0.0009103048,0.002914908,0.000579065],"domain_scores_gemma":[0.9882212,0.006371776,0.001458775,0.0009922492,0.002466661,0.0004893946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001750365,0.0001729136,0.9245501,0.0001554338,0.0006080025,0.0002638994,0.01738683,0.0007595254,0.005632862,0.002487291,0.001925398,0.0443075],"study_design_scores_gemma":[0.00007589204,0.0003182235,0.9912056,0.00005586031,0.00007276191,0.0003258467,0.003595863,0.001129656,0.0008138929,0.001076164,0.001293242,0.00003689537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843038,0.0003129163,0.003974893,0.0002032978,0.0001180555,0.0005871218,0.0009860084,0.00002915634,0.009484648],"genre_scores_gemma":[0.9950335,0.00009624237,0.002462018,0.00006526764,0.00001604138,0.0006017972,0.0009617159,0.00002751695,0.0007359301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344638,"threshold_uncertainty_score":0.04730856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2939870085921053,"score_gpt":0.5067813164321752,"score_spread":0.2127943078400699,"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."}}