{"id":"W4322630821","doi":"10.3390/nu15051215","title":"Food Insecurity and Dietary Deprivation: Migrant Households in Nairobi, Kenya","year":2023,"lang":"en","type":"article","venue":"Nutrients","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs; University of Alberta","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Dietary diversity; Food security; Diversity (politics); Food insecurity; Consumption (sociology); Household income; Socioeconomics; Low income; Environmental health; Geography; Economics; Medicine; Agriculture; Political science; Sociology","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":[0.0004267585,0.0002273581,0.0002473604,0.0006626659,0.001603197,0.0005636265,0.0002739969,0.0004304937,0.001730215],"category_scores_gemma":[0.0007620277,0.0002555743,0.0002395827,0.001640064,0.0005231096,0.0005461742,0.0009524449,0.0003665403,0.0001710239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739325,"about_ca_system_score_gemma":0.0007203288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048497,"about_ca_topic_score_gemma":0.2534338,"domain_scores_codex":[0.9998275,0.00005537708,0.00001612014,0.00002457451,0.0000214458,0.00005502474],"domain_scores_gemma":[0.9997967,0.00002312703,0.0001025484,0.000007628632,0.00001756042,0.00005249899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004171805,0.00004651452,0.9940602,0.00004060184,0.00001894011,0.0002103777,0.003396088,0.00002783148,0.0003334449,0.00004125374,0.00008805187,0.00169483],"study_design_scores_gemma":[0.00000306998,0.00004205137,0.9921684,0.00003478449,0.00001058868,0.0001061432,0.007338353,0.00005720054,0.00003189832,0.00001314074,0.0001910013,0.000003487872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995688,0.00009259806,0.0000128429,0.00004001419,8.771683e-7,0.000008420516,0.00009857211,2.567136e-7,0.0001776197],"genre_scores_gemma":[0.9994277,0.0002097406,0.0000585357,0.00002668229,0.000001753777,0.00001460343,0.0001004113,3.785221e-7,0.0001600814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048497,"threshold_uncertainty_score":0.2084787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077679449813114,"score_gpt":0.2629028271696521,"score_spread":0.232126032671521,"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."}}