{"id":"W3006538489","doi":"10.1038/s41597-020-0388-8","title":"The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Consortium of International Agricultural Research Centers; United States Agency for International Development","keywords":"Food security; Household income; Survey data collection; Livestock; Agriculture; Welfare; Productivity; Poverty; Index (typography); Agricultural economics; Geography; Production (economics); Scale (ratio); Agricultural productivity; Business; Socioeconomics; Economics; Economic growth; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478244,0.0002988535,0.0003065793,0.002164593,0.0004074698,0.0004246103,0.0004097458,0.0002975003,0.004931838],"category_scores_gemma":[0.003732414,0.0002686731,0.0001920904,0.005708259,0.0001360566,0.0004837488,0.00065151,0.0003601484,0.002502411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005212071,"about_ca_system_score_gemma":0.001116779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213524,"about_ca_topic_score_gemma":0.02643397,"domain_scores_codex":[0.9989923,0.0003298191,0.0001966709,0.000154445,0.0002232641,0.0001035334],"domain_scores_gemma":[0.9976537,0.0004384904,0.0007801746,0.0002225322,0.0007262318,0.0001789889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003077098,0.000301039,0.7885268,0.0007309348,0.0001515695,0.0002158842,0.002201583,0.00142371,0.001236037,0.001075282,0.1347017,0.06912776],"study_design_scores_gemma":[0.00005174634,0.000118478,0.9626523,0.00009470961,0.00002615306,0.0001102233,0.001063375,0.0003594382,0.0003073166,0.0001340219,0.03506476,0.00001757762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3824677,0.0004009871,0.002920024,0.0002725767,0.00003256942,0.001356395,0.5960415,0.000141044,0.01636733],"genre_scores_gemma":[0.4052867,0.001164532,0.009032288,0.0005119278,0.00004817693,0.005388701,0.5645136,0.00006478675,0.01398941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0213524,"threshold_uncertainty_score":0.04245627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4853906124704973,"score_gpt":0.4517201502234974,"score_spread":0.03367046224699988,"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."}}