{"id":"W1497447338","doi":"10.1177/15648265070282s203","title":"Food and Nutritional Security of Children of Urban Farmers in Kampala, Uganda","year":2007,"lang":"en","type":"article","venue":"Food and Nutrition Bulletin","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Food security; Anthropometry; Environmental health; Agriculture; Geography; Livestock; Body mass index; Livelihood; Malnutrition; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002662501,0.0001625818,0.0003228232,0.0003290055,0.00007004006,0.00002118264,0.00008514306,0.0001392683,0.00008182005],"category_scores_gemma":[0.00003065801,0.0001748964,0.00007566286,0.0002252089,0.0001897991,0.00007087216,0.00003810102,0.000180186,0.000001507382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141702,"about_ca_system_score_gemma":0.00000503748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005798985,"about_ca_topic_score_gemma":0.00004646934,"domain_scores_codex":[0.9987003,0.00006244014,0.0004935473,0.0002817928,0.0002183718,0.0002436044],"domain_scores_gemma":[0.9994456,0.0001207409,0.0001414131,0.00009776995,0.00008803541,0.0001064088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01469386,0.01113717,0.8997624,0.004463253,0.0002556887,0.00001409752,0.004763254,0.000001367262,0.01570216,0.006254118,0.03926725,0.00368537],"study_design_scores_gemma":[0.02999183,0.007194458,0.6509301,0.001846702,0.0000963085,0.0001672446,0.001077093,0.00001124568,0.2668971,0.01338905,0.02757771,0.0008211921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931338,0.002832747,0.00002489348,0.002801865,0.00008814793,0.000473213,0.000325474,0.00002693702,0.0002928591],"genre_scores_gemma":[0.9989123,0.0002489517,0.0003186704,0.0002056795,0.0001670899,0.00001197157,0.0001160324,0.0000155722,0.000003710253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2511949,"threshold_uncertainty_score":0.7132068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797357897245305,"score_gpt":0.2276470898567896,"score_spread":0.2198497319595443,"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."}}