{"id":"W4407172876","doi":"10.1016/j.inpsyc.2025.100042","title":"Harmonized Cognitive Assessment Protocol in the English Longitudinal Study of Ageing: Contrasting approaches to evaluation of factor structure","year":2025,"lang":"en","type":"article","venue":"International Psychogeriatrics","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Data Research UK; National Institute on Aging; National Institutes of Health; Alzheimer’s Research UK; Economic and Social Research Council; National Institute for Health and Care Research; Alzheimer Society","keywords":"Cognition; Ageing; Protocol (science); Computer science; Psychology; Medicine; Neuroscience; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01073916,0.0001455302,0.0003463986,0.001150157,0.00005998797,0.0001479492,0.001094714,0.00006477829,0.0001417437],"category_scores_gemma":[0.07715197,0.00009502887,0.00008116799,0.003349348,0.00003661444,0.000149766,0.0001342289,0.0002261729,5.57342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008298075,"about_ca_system_score_gemma":0.0001491467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004815971,"about_ca_topic_score_gemma":0.00004187011,"domain_scores_codex":[0.9939391,0.001351457,0.001214204,0.0005160408,0.002818096,0.0001610991],"domain_scores_gemma":[0.9831342,0.01371896,0.0007747471,0.0003232426,0.002019874,0.00002893552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003188988,0.0008092716,0.8857494,0.00001414225,0.000115174,0.000002208181,0.003468528,0.001247801,0.0002602404,0.0008206626,0.0002087433,0.1069849],"study_design_scores_gemma":[0.003280312,0.0002081948,0.9749874,0.00004563521,0.00003827563,7.135466e-7,0.009207649,0.004207045,0.00009588808,0.007742175,0.0001021146,0.00008461556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536166,0.00001179011,0.01576151,0.0002099184,0.001057344,0.02285714,0.00005681708,0.00001033232,0.006418528],"genre_scores_gemma":[0.991665,2.968634e-7,0.003691105,0.00003935658,0.0001047235,0.004472878,0.000003501348,0.00000494085,0.00001818221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069003,"threshold_uncertainty_score":0.9306216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7072509071900492,"score_gpt":0.5574466177307364,"score_spread":0.1498042894593128,"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."}}