{"id":"W3088271675","doi":"10.1177/0164027520958760","title":"Internal Migration and the Health of Middle-Aged and Older Persons in China: The Healthy Migrant Effect Reconsidered","year":2020,"lang":"en","type":"article","venue":"Research on Aging","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Internal migration; China; Self-rated health; Mental health; Rural area; Gerontology; Longitudinal study; Panel data; Depression (economics); Demography; Geography; Medicine; Psychology; Environmental health; Population; Sociology","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":[0.002209823,0.0003824691,0.0005231859,0.0008577895,0.0008415502,0.0009262533,0.0005472745,0.0004913543,0.002129386],"category_scores_gemma":[0.003437964,0.0001700677,0.001027982,0.0009161919,0.001123289,0.0008838982,0.001318616,0.0006494274,0.0000964065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005377082,"about_ca_system_score_gemma":0.001390685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445514,"about_ca_topic_score_gemma":0.05968381,"domain_scores_codex":[0.9993285,0.0002313103,0.00005046472,0.000131709,0.00006739647,0.0001905685],"domain_scores_gemma":[0.9982795,0.0004210461,0.00051224,0.0002677594,0.000156006,0.0003634977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000721066,0.00003271937,0.98676,0.00005682503,0.0002591617,0.0002041726,0.001375628,0.0001761988,0.0001144428,0.001531594,0.0003167131,0.009100546],"study_design_scores_gemma":[0.000007271311,0.00006477845,0.9954457,0.00006767289,0.0002022476,0.00005359558,0.001619692,0.0006090287,0.00005374836,0.0009909582,0.0008776854,0.000007655699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925363,0.002728401,0.0004497131,0.002571761,0.0001018737,0.000014091,0.0001437643,0.000006992123,0.001447073],"genre_scores_gemma":[0.9987957,0.0005294412,0.00009404818,0.0002218849,0.00004909588,0.000004472536,0.00004994266,0.000001453989,0.0002539545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03445514,"threshold_uncertainty_score":0.06850922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09090589022574863,"score_gpt":0.4131032422841641,"score_spread":0.3221973520584155,"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."}}