{"id":"W2154386065","doi":"10.1016/j.puhe.2014.01.010","title":"Defining migration and its health impact in China","year":2014,"lang":"en","type":"review","venue":"Public Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Urbanization; Internal migration; China; Government (linguistics); Public health; Census; Economic growth; Politics; Rural area; Population; Scale (ratio); Health care; Political science; Health policy; Public policy; Development economics; Geography; Environmental health; Medicine; Economics; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006948371,0.0005050281,0.002950912,0.0006579726,0.001196932,0.0000329613,0.0002046045,0.0003657324,0.0000989478],"category_scores_gemma":[0.0007104651,0.000369532,0.0001951209,0.0006880599,0.00002797856,0.0001875159,0.0002070684,0.001498866,0.0001852602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494797,"about_ca_system_score_gemma":0.006271377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008124713,"about_ca_topic_score_gemma":0.008799743,"domain_scores_codex":[0.9919129,0.003641658,0.001938851,0.000589299,0.0002974989,0.001619821],"domain_scores_gemma":[0.9967529,0.0007115579,0.001458215,0.0003365779,0.00007410369,0.0006666037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001506635,0.00003699943,0.005964806,0.04383384,0.00004204128,5.452359e-7,0.003766485,4.17313e-8,4.562584e-10,0.006261992,0.01722793,0.9228638],"study_design_scores_gemma":[0.0003008704,0.0001967535,0.01058074,0.01329511,0.00001250719,0.000003032806,0.0001443013,0.0000117093,2.12165e-10,0.00007256334,0.9751406,0.0002418554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009182065,0.9566546,0.00002123279,0.0386616,0.0004794011,0.00251334,0.0001071462,0.0001281235,0.001342706],"genre_scores_gemma":[0.0004926251,0.995185,0.00003559681,0.00233633,0.0003642863,0.0005015222,0.0005365008,0.00007774209,0.000470465],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9579126,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1840986112960987,"score_gpt":0.5294814529255162,"score_spread":0.3453828416294175,"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."}}