{"id":"W2914910089","doi":"10.1111/jgs.15793","title":"Elderly People With Disabilities in China","year":2019,"lang":"en","type":"letter","venue":"Journal of the American Geriatrics Society","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; Education Department of Guangxi Zhuang Autonomous Region; National Natural Science Foundation of China","keywords":"Medicine; Population; Gerontology; Census; Confidence interval; Demography; China; Stratified sampling; Cluster sampling; Mainland China; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000439462,0.000343896,0.0003387399,0.001876708,0.001743506,0.0006059654,0.0003998114,0.0003356627,0.003429597],"category_scores_gemma":[0.0009187046,0.0001645593,0.000449004,0.002834045,0.000294145,0.0005706699,0.001383633,0.0003827014,0.0002448147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245407,"about_ca_system_score_gemma":0.004977594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1241692,"about_ca_topic_score_gemma":0.1134436,"domain_scores_codex":[0.9995819,0.00003652384,0.0000769181,0.00006301277,0.0001008061,0.0001408193],"domain_scores_gemma":[0.9995351,0.00001612611,0.0001056231,0.00001935744,0.00009897892,0.0002248469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003950906,0.0001004728,0.9367306,0.0003536195,0.0000652722,0.001341112,0.00203244,0.0001092285,0.0003680952,0.0005435044,0.006692254,0.05162387],"study_design_scores_gemma":[0.00001382467,0.00004344957,0.9914114,0.0001218738,0.00003517794,0.0006397907,0.001514819,0.0001649546,0.00003188955,0.0002541289,0.005754205,0.00001455109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9800163,0.005192278,0.0002022097,0.002412602,0.0001572462,0.0002408049,0.003060744,0.00003038422,0.008687527],"genre_scores_gemma":[0.9860724,0.005234604,0.0003050938,0.001631863,0.0001344459,0.0002107177,0.002841953,0.000005574159,0.00356332],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1241692,"threshold_uncertainty_score":0.246893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006977043200829661,"score_gpt":0.2487207778408372,"score_spread":0.2417437346400076,"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."}}