{"id":"W2917352441","doi":"10.2310/6650.2005.00005.76","title":"77 SCORE ADJUSTMENTS FOR DIFFERENTIAL ITEM FUNCTIONING IN SCREENING FOR DEMENTIA: CASE OF THE CSHA STUDY","year":2005,"lang":"en","type":"article","venue":"Journal of Investigative Medicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Differential item functioning; Dementia; Psychology; Logistic regression; Cognition; Ordered logit; Psychometrics; Item response theory; Statistics; Clinical psychology; Medicine; Psychiatry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389609,0.0001799748,0.0005645286,0.0003657955,0.0001431907,0.000009893112,0.0001403169,0.00004770465,0.00013255],"category_scores_gemma":[0.001998403,0.0001036599,0.0001802585,0.0003529747,0.0004234618,0.0001576207,0.00005999936,0.0003408309,3.734348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032404,"about_ca_system_score_gemma":0.0001762628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003960929,"about_ca_topic_score_gemma":0.0001082016,"domain_scores_codex":[0.9977948,0.0001637943,0.0009322524,0.0001825818,0.0006359257,0.0002906465],"domain_scores_gemma":[0.9976959,0.0003962659,0.0006368509,0.0001452811,0.0009255924,0.0002000867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001831282,0.001338868,0.9381204,0.0003185815,0.001399362,0.000216921,0.00404943,0.00004069445,0.02607286,0.0001437232,0.002287304,0.02418058],"study_design_scores_gemma":[0.03272281,0.01144672,0.9064733,0.002454999,0.001889774,0.0006540645,0.01629859,0.001733875,0.02517325,0.0005222895,0.0004844393,0.0001458544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861171,0.0004478249,0.007063765,0.003964406,0.000236068,0.002045925,0.000009446425,0.000004332896,0.0001111358],"genre_scores_gemma":[0.9964637,0.00001075151,0.002021286,0.0004179415,0.0007141334,0.00007917302,0.000006695048,0.00002023628,0.0002661144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03164706,"threshold_uncertainty_score":0.4227128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060231875098057,"score_gpt":0.3701214247943589,"score_spread":0.2640982372845532,"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."}}