{"id":"W4282832325","doi":"10.1093/cdn/nzac077.019","title":"Household Income, Food Insecurity, and Nutrition in Bangladeshi Youth","year":2022,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthropometry; Environmental health; Low income; Percentile; Population; Socioeconomic status; Food security; Poverty; Food insecurity; Household income; Demography; Medicine; Socioeconomics; Geography; Economics; Agriculture; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003588043,0.0002349957,0.0002832127,0.001042572,0.000251106,0.00009577083,0.0002330327,0.00008015231,0.00002429644],"category_scores_gemma":[0.00002753805,0.0002961113,0.00004608972,0.0009716562,0.00004943114,0.0004208855,0.0002631648,0.0006122051,0.000003309416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108631,"about_ca_system_score_gemma":0.00002305049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002763584,"about_ca_topic_score_gemma":0.00008454113,"domain_scores_codex":[0.9978257,0.0002450198,0.0005900691,0.0005018166,0.0004324006,0.0004049916],"domain_scores_gemma":[0.9995624,0.00003932109,0.0001156987,0.000158622,0.00003258257,0.0000913692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001947946,0.01291987,0.9465221,0.003242991,0.00002463646,0.00004498847,0.01114536,0.00001603166,0.0004359942,0.0007116403,0.003261216,0.01972729],"study_design_scores_gemma":[0.04495247,0.001041475,0.8372723,0.004998391,0.00004496757,0.0001058284,0.003308197,0.0001465052,0.007361841,0.02897059,0.06982869,0.001968669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931155,0.003037595,0.000007710616,0.000535193,0.001596628,0.001189673,0.0002797195,0.0001053746,0.0001325879],"genre_scores_gemma":[0.9972299,0.0006614583,0.0002843629,0.0002028246,0.0001231328,0.000647418,0.0008154638,0.00003294723,0.000002504099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092497,"threshold_uncertainty_score":0.9999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378487453654886,"score_gpt":0.2713083842634521,"score_spread":0.2334596388979635,"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."}}