{"id":"W2593016964","doi":"","title":"Mothers’ and Households’ Food Security Status in Kangai and Mutithi Locations of Mwea West Sub County, Kenya","year":2016,"lang":"en","type":"article","venue":"Food science and quality management","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Food insecurity; Geography; Environmental health; Socioeconomics; Population; Medicine; Agriculture; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002270737,0.0001612153,0.0001409479,0.0005732412,0.001707869,0.0003944795,0.0002266728,0.0001937136,0.001643665],"category_scores_gemma":[0.0009179111,0.0002233563,0.0001124272,0.0007534239,0.0004442258,0.0003321249,0.0005527963,0.0002263489,0.0000989421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170875,"about_ca_system_score_gemma":0.001479086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2926306,"about_ca_topic_score_gemma":0.5893881,"domain_scores_codex":[0.9997978,0.00004074112,0.00001314256,0.00002851067,0.0000335504,0.00008635479],"domain_scores_gemma":[0.9996794,0.00006029725,0.0001136429,0.000008183188,0.00005486302,0.00008359375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006510883,0.00006134647,0.9863609,0.00002385186,0.00001050119,0.0004944014,0.00904209,0.00002077522,0.0005742436,0.00007816877,0.0001576952,0.003110893],"study_design_scores_gemma":[0.000003218644,0.00006826028,0.969112,0.00001774375,0.000008422355,0.0001836265,0.03005791,0.00005714603,0.0001292001,0.0000135155,0.0003441201,0.000004959252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997097,0.00002712369,0.000005818568,0.00002550106,6.143467e-7,0.000003489472,0.00004400406,1.887206e-7,0.0001836101],"genre_scores_gemma":[0.9995937,0.00006891931,0.00003535628,0.0000118087,5.543031e-7,0.000008163389,0.00003942439,1.861172e-7,0.000241762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2926306,"threshold_uncertainty_score":0.5818547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656094213884285,"score_gpt":0.4212599550073931,"score_spread":0.2556505336189646,"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."}}