{"id":"W4313306369","doi":"10.1002/psp.2640","title":"Pathways to food insecurity: Migration, hukou and COVID‐19 in Nanjing, China","year":2022,"lang":"en","type":"article","venue":"Population Space and Place","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"China; Coronavirus disease 2019 (COVID-19); Food insecurity; Geography; Economic geography; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Socioeconomics; Economic growth; Development economics; Demographic economics; Food security; Sociology; Economics; Biology; Virology; Medicine; Agriculture; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005345851,0.000231033,0.0002137361,0.001011842,0.001026465,0.001161186,0.000446112,0.0005346179,0.001623442],"category_scores_gemma":[0.001077719,0.0001987481,0.0003851745,0.001737795,0.001049835,0.0009682826,0.001582848,0.0006763796,0.00007958417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307184,"about_ca_system_score_gemma":0.002914248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1779519,"about_ca_topic_score_gemma":0.2640943,"domain_scores_codex":[0.9997126,0.00009522316,0.00001495321,0.00003876263,0.00002644184,0.0001119863],"domain_scores_gemma":[0.9990097,0.0001793736,0.0003575513,0.00002345294,0.00006137639,0.0003685615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000425563,0.00008034247,0.9925714,0.00002355428,0.00003229982,0.0004907377,0.002219677,0.000511604,0.00007956253,0.001502927,0.0004112408,0.002034115],"study_design_scores_gemma":[0.00001179087,0.00007296267,0.9827279,0.00003713789,0.00002528937,0.00007688313,0.01289486,0.002410564,0.00005239855,0.0007914055,0.0008823934,0.00001638273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986676,0.0001554975,0.00004241294,0.0006119577,0.000005377384,0.000006266794,0.00009782732,0.00000111512,0.0004120649],"genre_scores_gemma":[0.9993717,0.0001928894,0.00003892742,0.0000500842,0.000004989681,0.000008343928,0.00009869479,5.459657e-7,0.0002338307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779519,"threshold_uncertainty_score":0.3538322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348039584550954,"score_gpt":0.255643360678583,"score_spread":0.2021629648330734,"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."}}