{"id":"W2736632040","doi":"10.1111/imig.12346","title":"South‐South Migration and Urban Food Security: Zimbabwean Migrants in South African Cities","year":2017,"lang":"en","type":"article","venue":"International Migration","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"Social Sciences and Humanities Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre","keywords":"Food security; Urbanization; Food insecurity; Geography; Immigration; Economic growth; Cape; Diversity (politics); Socioeconomics; Development economics; Political science; Agriculture; Sociology; Economics","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":[0.0003549977,0.0001965893,0.0001393227,0.0007765075,0.001383092,0.001016079,0.0002140722,0.0003192493,0.003412112],"category_scores_gemma":[0.001051376,0.0001225989,0.0001693521,0.001552371,0.0007836389,0.0005820961,0.001391358,0.000375725,0.0001131852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008690668,"about_ca_system_score_gemma":0.0008885069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07214627,"about_ca_topic_score_gemma":0.1435219,"domain_scores_codex":[0.9997705,0.00006975455,0.00001167841,0.00001644865,0.00001730197,0.0001143767],"domain_scores_gemma":[0.9996693,0.0000556922,0.0001757371,0.00001067881,0.0000298823,0.00005868709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008027587,0.00006336563,0.9435278,0.0001504423,0.00003358033,0.0009418231,0.04318794,0.00008458291,0.0008168159,0.001046734,0.0004536986,0.00961301],"study_design_scores_gemma":[0.000005753347,0.00003875095,0.9250203,0.0001328758,0.00001635535,0.0002169965,0.07240155,0.00009145957,0.00007225828,0.0001408791,0.001855295,0.000007500516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989954,0.0002557103,0.00001577342,0.0002348787,0.000002883345,0.000006023171,0.0000281787,3.40767e-7,0.0004608507],"genre_scores_gemma":[0.9993908,0.0003389731,0.00002025701,0.00002601026,0.000002508864,0.000005500408,0.00001444735,3.202831e-7,0.0002012452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07214627,"threshold_uncertainty_score":0.1434526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180053681674687,"score_gpt":0.3970600444197617,"score_spread":0.279054676252293,"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."}}