{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004538909,0.0001529212,0.0001582409,0.0006771642,0.001073479,0.0006869065,0.0002981881,0.0002682679,0.001955416],"category_scores_gemma":[0.001570459,0.0001678019,0.0001537323,0.001899212,0.0006579477,0.0007196554,0.001010583,0.0003585132,0.0001709316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008595584,"about_ca_system_score_gemma":0.0006149415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07491143,"about_ca_topic_score_gemma":0.1882797,"domain_scores_codex":[0.9997028,0.0001220469,0.00001883365,0.00003111855,0.00002818301,0.00009705467],"domain_scores_gemma":[0.9992757,0.000134772,0.00042678,0.00001989241,0.00003384068,0.0001089142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004839171,0.00005357302,0.9914727,0.00002343244,0.0000197049,0.0003294031,0.002872751,0.0002798523,0.0001454514,0.0007004279,0.0001607058,0.00389346],"study_design_scores_gemma":[0.000001831402,0.00002864569,0.992073,0.00002901754,0.000006166665,0.0001129416,0.006896251,0.000242843,0.00002134597,0.00009909627,0.0004846456,0.000004302743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987615,0.0001739321,0.00002703475,0.000118493,0.000001149617,0.000004436004,0.00007665689,6.568058e-7,0.0008360735],"genre_scores_gemma":[0.9995103,0.0001941474,0.0000317453,0.00001021846,0.000001524508,0.000003617023,0.00005278805,5.171044e-7,0.0001951426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07491143,"threshold_uncertainty_score":0.1489508,"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."}}