{"id":"W2031226675","doi":"10.2188/jea.16.261","title":"Frequency of Going Outdoors as a Good Predictors for Incident Disability of Physical Function as well as Disability Recovery in Community-Dwelling Older Adults in Rural Japan","year":2006,"lang":"en","type":"article","venue":"Journal of Epidemiology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Ministry of Health, Labour and Welfare; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Medicine; Confidence interval; Confounding; Odds ratio; Activities of daily living; Demography; Gerontology; Multivariate analysis; Rural community; Physical therapy; 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":[0.006693056,0.0002928765,0.001909799,0.000203016,0.00005136519,0.000003208298,0.0002863418,0.0003403568,0.0001080413],"category_scores_gemma":[0.01845783,0.0002431237,0.0005908473,0.0003166976,0.000726313,0.0002863987,0.00008255541,0.001388815,0.000008502187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785737,"about_ca_system_score_gemma":0.0001948935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857763,"about_ca_topic_score_gemma":0.004524145,"domain_scores_codex":[0.9936038,0.002179076,0.00311389,0.0002817195,0.0003141615,0.0005074009],"domain_scores_gemma":[0.9869128,0.01026319,0.001767898,0.0005700193,0.0003150344,0.0001710437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002733593,0.003000571,0.9863117,0.0006912001,0.00008513816,0.000005340218,0.001137342,0.001750803,0.001195123,0.0003404513,0.0001411225,0.002607584],"study_design_scores_gemma":[0.004603886,0.004648459,0.9454414,0.00189217,0.0001500637,0.0001080024,0.002048899,0.001015097,0.0007846638,0.0391174,0.00003203786,0.0001579669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958376,0.0003173773,0.000307789,0.001649223,0.0004383404,0.00082596,0.00002051424,0.00001242879,0.0005907619],"genre_scores_gemma":[0.9983248,0.00004481375,0.0009273518,0.0001917651,0.0003737456,0.00002217277,0.00004406774,0.00002685178,0.00004442737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04087038,"threshold_uncertainty_score":0.9914298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266203646792014,"score_gpt":0.3236863045918097,"score_spread":0.3010242681238895,"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."}}