{"id":"W3180516659","doi":"10.14745/ccdr.v47i78a02","title":"COVID-19: A case for the collection of race data in Canada and abroad","year":2021,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Race (biology); Pandemic; Coronavirus disease 2019 (COVID-19); Proxy (statistics); Psychological intervention; Health equity; Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Neighbourhood (mathematics); Public health; 2019-20 coronavirus outbreak; Political science; Demography; Economic growth; Disease; Outbreak; Medicine; Infectious disease (medical specialty); Sociology; Gender studies; Virology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.1176835,0.0007344207,0.002234546,0.00640471,0.01710876,0.01224044,0.008658925,0.004395701,0.004219234],"category_scores_gemma":[0.2396151,0.00099757,0.001591769,0.01488608,0.01318956,0.008423246,0.01257449,0.01313587,0.0007047594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08299966,"about_ca_system_score_gemma":0.388189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875588,"about_ca_topic_score_gemma":0.9859791,"domain_scores_codex":[0.8797517,0.04996349,0.01034611,0.007479961,0.03707632,0.01538236],"domain_scores_gemma":[0.6258965,0.1271772,0.01974517,0.03673153,0.1437757,0.04667379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007166691,0.0002200315,0.2986275,0.002593427,0.0005470521,0.002265826,0.05834176,0.001349901,0.0007878482,0.0865503,0.2488011,0.2991985],"study_design_scores_gemma":[0.0001930977,0.0002838223,0.3784984,0.02519384,0.00045392,0.001685991,0.08989412,0.003129121,0.001203098,0.03891979,0.4595849,0.0009598912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05634126,0.02139921,0.009531695,0.8644705,0.004419651,0.0009185103,0.007342601,0.0001871863,0.03538929],"genre_scores_gemma":[0.5685422,0.02649373,0.0548077,0.3282738,0.002374538,0.002175239,0.006420615,0.0006577857,0.01025436],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1176835,"threshold_uncertainty_score":0.6223772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08954661797709312,"score_gpt":0.4065963599388341,"score_spread":0.317049741961741,"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."}}