{"id":"W7115925744","doi":"10.1016/j.aggp.2025.100238","title":"A foundational analysis of internal consistency for 17 geriatric/gerontological outcome measures in Nigerian older adults: Do we need further psychometric evaluation?","year":2025,"lang":"en","type":"article","venue":"Archives of Gerontology and Geriatrics Plus","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"York University","keywords":"Loneliness; Scale (ratio); Internal consistency; Social connectedness; Anxiety; Cognition; Concurrent validity; Psychometrics; Cronbach's alpha","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706209,0.0001748908,0.0008756125,0.001639216,0.0002271861,0.00003042935,0.0003155947,0.0002160611,0.0002173822],"category_scores_gemma":[0.001847225,0.000158975,0.00028721,0.001470952,0.0005180824,0.0001056242,0.00006222408,0.0001464921,4.395781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009324327,"about_ca_system_score_gemma":0.0005895906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488742,"about_ca_topic_score_gemma":0.02059161,"domain_scores_codex":[0.9972106,0.0005586667,0.00104298,0.0004000084,0.0003475337,0.0004402318],"domain_scores_gemma":[0.9963294,0.002702949,0.0004200084,0.0002130727,0.0002227374,0.0001118802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009298143,0.0001993196,0.8514515,0.000235674,0.0005173958,9.015986e-7,0.01466853,0.00006623056,0.000002308399,0.04320278,0.0002217693,0.08850374],"study_design_scores_gemma":[0.002982476,0.00009251305,0.9744028,0.00006350181,0.0005584683,5.456128e-7,0.008309623,0.001361129,0.00000115453,0.009543688,0.002514006,0.0001701244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139857,0.0272993,0.01972111,0.01566784,0.001456378,0.002277129,0.0001937433,0.00003918206,0.01935957],"genre_scores_gemma":[0.9952294,0.001372529,0.002481714,0.0003546615,0.00005732013,0.0001153419,0.00002062451,0.000005616525,0.00036275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229512,"threshold_uncertainty_score":0.9972801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725618905392837,"score_gpt":0.3930708522404289,"score_spread":0.3358146631865006,"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."}}