{"id":"W3010465040","doi":"10.3390/ijerph17051739","title":"Spatial Variability of Health Inequalities of Older People in China and Related Health Factors","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Life expectancy; Inequality; China; Distribution (mathematics); Geography; Socioeconomic status; Social inequality; Chinese people; Public health; Socioeconomics; Population; Environmental health; Economic growth; Sociology; Medicine; Economics","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":[0.00102389,0.0002167924,0.0003301383,0.001430925,0.0007218592,0.0005032365,0.0004374822,0.0002324159,0.001157755],"category_scores_gemma":[0.002291528,0.0001612597,0.0005415858,0.002140441,0.0004589916,0.0004603665,0.0008049142,0.0002936149,0.00007117073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197552,"about_ca_system_score_gemma":0.001102846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1025817,"about_ca_topic_score_gemma":0.1227255,"domain_scores_codex":[0.9993204,0.0001156597,0.00008120806,0.0001696985,0.0001452237,0.0001678261],"domain_scores_gemma":[0.9987155,0.0002328185,0.0004186112,0.0002069787,0.0002138744,0.0002123102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002085322,0.00001614913,0.9964515,0.00001302271,0.00004779881,0.00003566859,0.0003077167,0.0001504508,0.0001290333,0.0001935038,0.0001217097,0.002512485],"study_design_scores_gemma":[6.974694e-7,0.000006684315,0.9993945,0.000002895406,0.000007356436,0.00001214643,0.000150731,0.000276921,0.00001166872,0.00006600555,0.00006794575,0.000002424329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984328,0.0002992692,0.0001472331,0.0001228891,0.000005159574,0.000007129187,0.0003920924,0.000004522012,0.0005889278],"genre_scores_gemma":[0.999611,0.00005382199,0.00003899772,0.00001198348,0.000003746608,0.000003910523,0.0002098212,5.986672e-7,0.00006621474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025817,"threshold_uncertainty_score":0.2039692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08590520145992743,"score_gpt":0.4165114422349175,"score_spread":0.3306062407749901,"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."}}