{"id":"W3178741846","doi":"10.1186/s12884-021-03958-4","title":"The relationship between internal migration and the likelihood of high-risk pregnancy: Hukou system and high-risk pregnancies in China","year":2021,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Social Science Fund of China; China Postdoctoral Science Foundation","keywords":"Propensity score matching; Medicine; Internal migration; China; Logistic regression; Demography; Relative risk; Public health; Reproductive medicine; Pregnancy; Obstetrics; Environmental health; Confidence interval; Geography; Population; Nursing; Internal medicine","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":[0.0008287249,0.0001962513,0.0001825622,0.001096274,0.0006506084,0.0005864562,0.0003427088,0.0002133317,0.000987227],"category_scores_gemma":[0.002342045,0.0001943265,0.0003426593,0.001497892,0.0005158431,0.0002625428,0.0006742548,0.0003656772,0.00005273609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008423168,"about_ca_system_score_gemma":0.001163672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03796994,"about_ca_topic_score_gemma":0.03423125,"domain_scores_codex":[0.9995344,0.0001185218,0.00006212953,0.00009084612,0.00007455116,0.0001196366],"domain_scores_gemma":[0.998202,0.0002481397,0.0008534233,0.0000981765,0.0001216561,0.0004767093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001110858,0.000003575147,0.9994419,0.000003136208,0.00001319305,0.00003857095,0.00007069202,0.00001838313,0.00002549868,0.0000197178,0.00001990741,0.0003342786],"study_design_scores_gemma":[0.000001340661,0.000008907584,0.9993825,0.000005034062,0.00001126063,0.00006886889,0.0002355499,0.000206825,0.00002039906,0.00001641082,0.00004118558,0.000001687966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995869,0.00009916877,0.00003446805,0.00004617237,0.000002149402,0.000003348584,0.0000562503,0.000001126105,0.0001704642],"genre_scores_gemma":[0.9998515,0.00004247941,0.00001955987,0.000007365262,0.00000199099,0.000002213079,0.00004402033,4.779616e-7,0.00003039726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03796994,"threshold_uncertainty_score":0.07549787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419374552857895,"score_gpt":0.2559576410648001,"score_spread":0.2417638955362211,"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."}}