{"id":"W2130687741","doi":"10.1186/1471-2318-5-1","title":"Measuring depression in nursing home residents with the MDS and GDS: an observational psychometric study","year":2005,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Waterloo","funders":"National Institute on Aging; National Institutes of Health","keywords":"Medicine; Observational study; Depression (economics); Nursing homes; Rehabilitation; Psychometrics; Psychiatry; Gerontology; Geriatric Depression Scale; Nursing; Family medicine; Physical therapy; Clinical psychology; Depressive symptoms; Cognition; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390692,0.0002056511,0.0002856169,0.000578991,0.0007726491,0.00005501042,0.0002566766,0.0001499658,0.00004021862],"category_scores_gemma":[0.000170033,0.0001402139,0.00003236901,0.001894952,0.00004201245,0.0003632362,0.00006300757,0.000489933,0.00001976754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607284,"about_ca_system_score_gemma":0.0002308036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005387685,"about_ca_topic_score_gemma":0.002090113,"domain_scores_codex":[0.9973398,0.0006316965,0.0004875188,0.0004431751,0.0006083642,0.0004893903],"domain_scores_gemma":[0.9984545,0.0005547262,0.0002376673,0.0004450366,0.0001731431,0.0001349282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002727895,0.0003401636,0.9791557,0.0000426288,0.000006825738,0.000001849918,0.009056189,0.0001398584,0.00002592279,0.00003745784,0.001607254,0.009313352],"study_design_scores_gemma":[0.002255943,0.0001635105,0.9859996,0.000130702,0.00005102508,0.000004050018,0.010576,0.0001509753,0.000003533237,0.000163334,0.000308092,0.0001932826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950618,0.001649393,0.0004543855,0.0005930842,0.0005437905,0.00103846,0.000004616173,0.00007661339,0.0005778628],"genre_scores_gemma":[0.9964685,0.00007813506,0.002191906,0.00009404695,0.0007499479,0.00009025666,0.00001160677,0.00003696417,0.0002786647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00912007,"threshold_uncertainty_score":0.594267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1801122162844402,"score_gpt":0.4206902071431274,"score_spread":0.2405779908586872,"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."}}