{"id":"W3172521284","doi":"10.1093/cdn/nzab056_008","title":"Households’ Socio-Economic Characteristics and Their Food Purchase Patterns: A Macro Study on IRAN Households Income and Expenditure Survey","year":2021,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Quarter (Canadian coin); Proxy (statistics); Environmental health; Logistic regression; Family income; Household income; Socioeconomics; Demography; Engel curve; Geography; Medicine; Economics; Economic growth; Population; Sociology; Price index","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":[0.0007764242,0.0002773623,0.0004370064,0.0001698953,0.0007810244,0.00004580052,0.0001198932,0.0002309346,0.00006479013],"category_scores_gemma":[0.0001078242,0.0002835291,0.00002864816,0.0001438928,0.00004742821,0.0002344579,0.0002352421,0.0007839859,0.00002816545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003957405,"about_ca_system_score_gemma":0.000219348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000091566,"about_ca_topic_score_gemma":0.001335408,"domain_scores_codex":[0.9972129,0.0008162656,0.0007833681,0.0005387001,0.0001723563,0.0004764074],"domain_scores_gemma":[0.9989258,0.0003254059,0.0002409126,0.0002500451,0.00007185817,0.0001859535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009406101,0.0009525642,0.9793669,0.0008006296,0.00003046087,0.00001016288,0.01538549,4.139724e-7,0.000004521383,0.000176326,0.0003534303,0.002825015],"study_design_scores_gemma":[0.003718814,0.0001725887,0.9837865,0.001194915,0.000009058045,0.000002580269,0.007809684,0.00001716695,0.00001015568,0.0006114773,0.002382511,0.0002845379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993825,0.0007687447,0.00003975048,0.000237682,0.001733447,0.00151871,0.001781151,0.00006734769,0.0000281778],"genre_scores_gemma":[0.9955671,0.002491748,0.0000543823,0.0002246121,0.0002087886,0.000438274,0.0009682966,0.00003405523,0.00001272276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007575807,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2320284298246354,"score_gpt":0.423770023648592,"score_spread":0.1917415938239566,"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."}}