{"id":"W4388629454","doi":"10.15353/cfs-rcea.v10i3.630","title":"Intersections of race, COVID-19 pandemic, and food security in Black identifying Canadian households: A scoping review","year":2023,"lang":"en","type":"review","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Public Health Agency of Canada","keywords":"Intersectionality; Food security; Racism; Health equity; Food systems; Political science; Ethnic group; Public health; Economic growth; Sociology; Development economics; Geography; Health care; Gender studies; Economics; Medicine; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.008966609,0.00111317,0.002677888,0.01884999,0.003710378,0.006864617,0.002013003,0.00228448,0.003743213],"category_scores_gemma":[0.04261791,0.0008493408,0.003280851,0.02743127,0.002558522,0.002420008,0.002437038,0.001928581,0.0002640016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03563887,"about_ca_system_score_gemma":0.1677663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8283866,"about_ca_topic_score_gemma":0.9106708,"domain_scores_codex":[0.9953761,0.0009275632,0.001018864,0.0004062557,0.001775885,0.0004953421],"domain_scores_gemma":[0.963789,0.01985966,0.00317563,0.0004271112,0.01187017,0.0008783783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002153406,0.00006235988,0.01250059,0.5601298,0.002761285,0.0004645723,0.00831374,0.0004781401,0.0002845631,0.007481995,0.03352638,0.3737812],"study_design_scores_gemma":[0.0000235493,0.00004585995,0.02064889,0.8183644,0.007567095,0.0003690924,0.005303117,0.0001790155,0.0001566015,0.001207838,0.1460391,0.00009547075],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001194835,0.994586,0.0001172584,0.001538402,0.0002414884,0.0001134538,0.0004293135,0.000006704129,0.001772513],"genre_scores_gemma":[0.01196589,0.9860205,0.0004000358,0.000858742,0.000097109,0.000131143,0.0002391679,0.000004999136,0.000282421],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1716134,"threshold_uncertainty_score":0.3452481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5019821176947092,"score_gpt":0.4983229711190301,"score_spread":0.003659146575679173,"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."}}