{"id":"W2128720665","doi":"10.12927/whp.2009.20868","title":"Mental Health Symptoms among Rural-to-Urban Migrants in China: A Comparison with Their Urban and Rural Counterparts","year":2009,"lang":"en","type":"article","venue":"World health & population","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center","keywords":"China; Environmental health; Mental health; Socioeconomics; Public health; Geography; Rural area; Medicine; Economic growth; Sociology; Psychiatry; Nursing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004128056,0.0003241292,0.0002714228,0.0007972711,0.0004762151,0.000434896,0.0003001476,0.000351169,0.0008793327],"category_scores_gemma":[0.0008633824,0.0002139236,0.0002626692,0.0006443067,0.0003820121,0.0005084988,0.0004889295,0.0002681707,0.0001061793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247472,"about_ca_system_score_gemma":0.000344557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009147671,"about_ca_topic_score_gemma":0.01297019,"domain_scores_codex":[0.9998272,0.00003818086,0.00002186141,0.00003603914,0.00002710338,0.00004968543],"domain_scores_gemma":[0.9994919,0.00003360045,0.0002123462,0.00001580482,0.00005833677,0.0001879535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000513452,0.00002985005,0.9983046,0.0000152086,0.00002797979,0.00009593213,0.0004455364,0.000012776,0.0001928921,0.000006708549,0.00003325316,0.0007839257],"study_design_scores_gemma":[0.000004425856,0.00006706086,0.9988182,0.000004263779,0.000008657121,0.00008580054,0.0009094988,0.00003502572,0.00001283696,0.000004929058,0.00004776826,0.000001482165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998275,0.00004635598,0.000006012509,0.00001587023,0.000001526628,0.000003699201,0.00004587594,3.344434e-7,0.00005279433],"genre_scores_gemma":[0.9997173,0.00005672937,0.00001401849,0.00002064302,0.000003214299,0.000007360924,0.0001040994,3.691989e-7,0.00007632331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009147671,"threshold_uncertainty_score":0.01818883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565510910373361,"score_gpt":0.3491248810351057,"score_spread":0.3334697719313721,"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."}}