{"id":"W333006940","doi":"10.1371/journal.pone.0126038","title":"Dietary Patterns and Household Food Insecurity in Rural Populations of Kilosa District, Tanzania","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Tanzania; Food insecurity; Environmental health; Food security; Socioeconomics; Geography; Medicine; Agriculture; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002204638,0.000176246,0.0001456841,0.0005378866,0.0004088096,0.0003265581,0.0001943636,0.0001545034,0.001588556],"category_scores_gemma":[0.0004952595,0.0001645004,0.0001150033,0.0006319962,0.0003394322,0.0002002616,0.0003259538,0.0001765525,0.0001327182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883875,"about_ca_system_score_gemma":0.0002916574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311288,"about_ca_topic_score_gemma":0.0236572,"domain_scores_codex":[0.9998959,0.00003215615,0.00001066484,0.0000189823,0.00001529884,0.00002708785],"domain_scores_gemma":[0.9997606,0.00002732687,0.0001276674,0.00001025327,0.00002095877,0.00005326687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004574707,0.00003281115,0.9955793,0.00004002818,0.00001892948,0.0002228336,0.001321645,0.00002545499,0.0006164854,0.00002203044,0.0001220295,0.001952804],"study_design_scores_gemma":[0.000003556785,0.00005436175,0.9986079,0.00001308994,0.000005260775,0.0001414689,0.001006467,0.00003532279,0.00001936905,0.00001176292,0.00009959722,0.000001724993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996834,0.00008681423,0.00001392084,0.00002836377,8.676316e-7,0.000003795156,0.00008508679,8.434151e-7,0.00009705677],"genre_scores_gemma":[0.9997457,0.00007069819,0.00003774071,0.00001344375,0.000001306877,0.00000709235,0.00005890549,3.085401e-7,0.00006487216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311288,"threshold_uncertainty_score":0.0260731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4621974471461612,"score_gpt":0.3958726730507692,"score_spread":0.06632477409539206,"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."}}