{"id":"W3198613526","doi":"10.3390/environments8090092","title":"Migration, Rural–Urban Connectivity, and Food Remittances in Kenya","year":2021,"lang":"en","type":"article","venue":"Environments","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Food security; Urbanization; Context (archaeology); Poverty; Livelihood; Geography; Inequality; Socioeconomics; Economic growth; Economics; Agriculture","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":[0.0001669121,0.00005137928,0.00006902338,0.00002035794,0.0001261803,0.00003834723,0.00004760699,0.00004929331,0.0002206097],"category_scores_gemma":[0.00007634884,0.0000553386,0.00001363125,0.000112692,0.00008831289,0.0001454221,0.00002222656,0.0000563064,0.00001519142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005764843,"about_ca_system_score_gemma":0.00002532083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001728528,"about_ca_topic_score_gemma":0.05773799,"domain_scores_codex":[0.9993666,0.0001238377,0.00009429223,0.0001285032,0.0001653168,0.0001213893],"domain_scores_gemma":[0.9997911,0.0000424613,0.00003209145,0.00007963245,0.00000435427,0.00005034265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002165834,0.00007839976,0.9647486,0.000002692316,0.000008048853,0.000003532592,0.01812709,0.00002301127,0.001382508,0.01289906,0.0008443808,0.001880501],"study_design_scores_gemma":[0.0003549611,0.00002423875,0.7665523,0.00001483141,0.000005082401,7.134657e-7,0.01071479,0.0001819674,0.0003019304,0.001982728,0.2197191,0.0001472887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931283,0.0003919392,0.00006684916,0.001662486,0.00008380817,0.00007256971,0.000005455954,0.00001013428,0.00457848],"genre_scores_gemma":[0.9933922,0.001161189,0.0001100292,0.0002111989,0.00004323266,0.000006092378,0.000009713043,0.000003896338,0.005062436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2188747,"threshold_uncertainty_score":0.9594558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009309063793705323,"score_gpt":0.2426463430453215,"score_spread":0.2333372792516162,"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."}}