{"id":"W4220743087","doi":"10.1016/j.jneb.2022.01.006","title":"Collecting, Using, and Reporting Race and Ethnicity Information: Implications for Research in Nutrition Education, Practice, and Policy to Promote Health Equity","year":2022,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Scottish Environment Protection Agency","keywords":"Ethnic group; Race and health; Health equity; Equity (law); Race (biology); Health information; Psychology; Medicine; Medical education; Health care; Political science; Sociology; Nursing; Public health; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2713484,0.0006914749,0.001189968,0.002958558,0.006897838,0.01040796,0.003539934,0.003340911,0.004850747],"category_scores_gemma":[0.5422042,0.0007853545,0.001135105,0.006765517,0.007615111,0.0156117,0.004929794,0.004551456,0.0007984027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007673431,"about_ca_system_score_gemma":0.0715863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165589,"about_ca_topic_score_gemma":0.1530326,"domain_scores_codex":[0.7665395,0.1976497,0.009668984,0.004753056,0.01614,0.005248799],"domain_scores_gemma":[0.4587316,0.4174795,0.03498277,0.02784636,0.05155928,0.009400418],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003687624,0.002107441,0.4669423,0.001391765,0.0003045586,0.0001575327,0.0393516,0.0008849955,0.000601633,0.04458766,0.03086996,0.4124317],"study_design_scores_gemma":[0.0002946553,0.0009376887,0.4971171,0.01832089,0.0007371861,0.0003859988,0.2205843,0.007055176,0.004268551,0.1756077,0.07420049,0.0004901426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.271856,0.01107686,0.06688444,0.5805393,0.003327613,0.003738396,0.002767025,0.0001694402,0.0596409],"genre_scores_gemma":[0.8662823,0.007246968,0.07392066,0.04358374,0.00109842,0.004368366,0.0007383575,0.000101895,0.002659254],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7286516,"threshold_uncertainty_score":0.8985571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4819212725257512,"score_gpt":0.6498386304950305,"score_spread":0.1679173579692794,"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."}}