{"id":"W2165914250","doi":"10.1093/geront/42.4.443","title":"Changes Predicting Long-Term Care Use Among the Oldest-Old","year":2002,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Gerontology; Nursing homes; Long-term care; Medicine; Aging in place; Health care; Longitudinal study; Type of service; Service (business); Demography; Nursing; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004009621,0.0001935042,0.0002428322,0.00003884631,0.001862141,0.00004982881,0.000493512,0.0002013996,0.0005444069],"category_scores_gemma":[0.0002561671,0.0001001784,0.00008460203,0.0001861588,0.0003636805,0.000106267,0.0001579357,0.0006494957,0.0001974436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508976,"about_ca_system_score_gemma":0.00002204229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004117012,"about_ca_topic_score_gemma":0.03599638,"domain_scores_codex":[0.9980263,0.0005376794,0.0002847819,0.0002675002,0.0002284475,0.0006552942],"domain_scores_gemma":[0.9978373,0.0009486498,0.0002318127,0.0007892987,0.0001153732,0.00007757973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002906333,0.00002523556,0.903783,0.00009994848,0.00003348961,0.00001706799,0.05227107,0.000003010401,0.0000164982,0.0001338754,0.03104461,0.01254317],"study_design_scores_gemma":[0.0003931168,0.00008878021,0.9716957,0.000140357,0.00009665931,0.000007527411,0.02333631,0.00003904126,0.00001780769,0.00002266245,0.004006989,0.0001550749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807128,0.003989738,0.0000359712,0.00614211,0.002039042,0.0008845149,0.00002295062,0.0002644984,0.005908326],"genre_scores_gemma":[0.9852705,0.0003423821,0.00002285268,0.0006107683,0.0008925769,0.0001488116,0.00001582247,0.00002592799,0.01267037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06791271,"threshold_uncertainty_score":0.9994373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118912986681906,"score_gpt":0.3703621905776363,"score_spread":0.2584708919094457,"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."}}