{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007104563,0.0001110684,0.0002145603,0.0003477636,0.0002266018,0.00006259575,0.00006877249,0.000050638,0.0001533636],"category_scores_gemma":[0.000506072,0.0001453825,0.00002186455,0.0003530558,0.00001185136,0.0001872026,0.0001063542,0.0001506309,0.00001270071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486489,"about_ca_system_score_gemma":0.00003980639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004247146,"about_ca_topic_score_gemma":0.003603272,"domain_scores_codex":[0.9990841,0.00003970815,0.0002999812,0.0003344461,0.00005145765,0.0001902685],"domain_scores_gemma":[0.999435,0.0000852025,0.0001536152,0.0001549998,0.000006289037,0.0001648769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003924146,0.00002562479,0.9392006,0.00002979733,0.000006506862,0.00000214041,0.00982635,0.003978352,0.0000116099,0.04460304,0.001929619,0.0003470647],"study_design_scores_gemma":[0.0009951057,0.0002032077,0.7735886,0.000008351303,0.000003573999,0.00001325113,0.0006001353,0.01007214,0.00000572623,0.02843638,0.1857516,0.0003219479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880365,0.001331241,0.0009174126,0.00859463,0.0001124549,0.0002895533,0.0001731506,0.00003375004,0.0005113509],"genre_scores_gemma":[0.997317,0.0001013312,0.0001513208,0.001973022,0.00003243714,0.00003180397,0.00005497014,0.00001302883,0.0003251543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183822,"threshold_uncertainty_score":0.6420442,"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."}}