{"id":"W2390260972","doi":"","title":"A follow-up study on social support to the elderly in Xicheng district of Beijing","year":2013,"lang":"en","type":"article","venue":"Chinese Preventive Medicine","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social support; Beijing; Quality of life (healthcare); Rating scale; Anxiety; Medicine; Intervention (counseling); Mental health; Psychology; Depression (economics); Happiness; Physical therapy; Clinical psychology; Gerontology; Psychiatry; Nursing; China","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003271864,0.0001872207,0.0005256602,0.0002596249,0.0004802826,0.000003992258,0.0003666228,0.00009097141,0.001155587],"category_scores_gemma":[0.003004851,0.00009853789,0.0000610327,0.0009186422,0.00007940332,0.00006504626,0.0001781404,0.0009477467,0.0003958512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421813,"about_ca_system_score_gemma":0.0002811137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735937,"about_ca_topic_score_gemma":0.001182875,"domain_scores_codex":[0.9963457,0.001263979,0.0008019538,0.0003083583,0.0006323609,0.0006476592],"domain_scores_gemma":[0.9975646,0.001432082,0.000180152,0.0003341518,0.0002515309,0.0002374634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002010265,0.0003760497,0.8638256,0.0002640574,0.00003982904,0.000009791297,0.07517939,0.000001015302,0.0002789196,0.00006822356,0.02868959,0.03106652],"study_design_scores_gemma":[0.003055089,0.001495762,0.9759665,0.0003387072,0.0000144512,2.163327e-7,0.01744241,0.00001948916,0.000004415877,0.0004390628,0.00113895,0.00008496969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725637,0.0000499486,0.0001151129,0.01792596,0.00060011,0.004173584,0.000008076543,0.00002293264,0.004540605],"genre_scores_gemma":[0.9938335,0.000007680495,0.000008777955,0.0008038483,0.0006773427,0.0007728017,0.00001564198,0.00002264373,0.003857793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121409,"threshold_uncertainty_score":0.9997575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07137305644202815,"score_gpt":0.4789827770990817,"score_spread":0.4076097206570535,"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."}}