{"id":"W4405291148","doi":"10.3390/healthcare12242508","title":"Can Informal Care Be a Substitute for Formal Care? Evidence from Older People with Disabilities in Beijing, China","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beijing; Propensity score matching; China; Modalities; Instrumental variable; Population ageing; Ordered probit; Robustness (evolution); Matching (statistics); Gerontology; Population; Psychology; Medicine; Environmental health; Economics; Econometrics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004109855,0.0004953315,0.000855663,0.002326168,0.0009320799,0.001180821,0.001114854,0.0005156885,0.003049232],"category_scores_gemma":[0.009043522,0.0002706907,0.0009816781,0.003398573,0.001367577,0.001089201,0.001684838,0.0006381162,0.000129438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002845796,"about_ca_system_score_gemma":0.004165835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1325038,"about_ca_topic_score_gemma":0.1759167,"domain_scores_codex":[0.998234,0.0006663577,0.0003021739,0.0002379543,0.0002616012,0.0002979181],"domain_scores_gemma":[0.9935504,0.001955332,0.002335215,0.0004618272,0.0009164355,0.0007807026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003133268,0.0001007712,0.9671339,0.0009625775,0.0007680319,0.0004286374,0.004412163,0.0001230142,0.00007357565,0.000727298,0.0004341612,0.02452243],"study_design_scores_gemma":[0.00004629191,0.00009718644,0.9915481,0.0006693973,0.0008057796,0.00009455778,0.004850902,0.0001725153,0.00004237226,0.0002978943,0.001361358,0.00001370609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828748,0.01306491,0.0001022743,0.001420105,0.00003056988,0.00003614359,0.0004374589,0.000002133152,0.002031636],"genre_scores_gemma":[0.9960829,0.003341953,0.00004337314,0.0001979714,0.00001369724,0.00001435212,0.00018759,0.000001018018,0.0001172367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325038,"threshold_uncertainty_score":0.263465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212377845686794,"score_gpt":0.3267179525721163,"score_spread":0.3045941741152484,"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."}}