{"id":"W4249080671","doi":"10.21203/rs.3.rs-152695/v1","title":"Racial Equity in the Fight Against COVID-19: A Qualitative Study Examining the Importance of Collecting Race-Based Data in the Canadian Context","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto","keywords":"Coronavirus disease 2019 (COVID-19); Race (biology); Equity (law); Context (archaeology); Qualitative property; Political science; Qualitative research; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Racism; Sociology; Public relations; Gender studies; Geography; Computer science; Social science; Medicine; Virology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.02910971,0.0005201969,0.0009758715,0.001881709,0.03713882,0.0061872,0.002829471,0.002142337,0.002744633],"category_scores_gemma":[0.03342789,0.000607748,0.000489983,0.002966537,0.01493079,0.002908675,0.006976424,0.003847835,0.0001736774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05628986,"about_ca_system_score_gemma":0.1111001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.830762,"about_ca_topic_score_gemma":0.8728653,"domain_scores_codex":[0.9765836,0.01478808,0.0005060307,0.0009883787,0.002727665,0.004406212],"domain_scores_gemma":[0.9633092,0.01936048,0.001878886,0.0006092584,0.006821659,0.008020497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001981499,0.00001863175,0.00283735,0.0001295976,0.000003527229,0.0006093128,0.9907415,0.00004318292,0.0005158719,0.001194637,0.0006724629,0.003214068],"study_design_scores_gemma":[0.000001683016,0.00001326869,0.001546975,0.0001765277,0.000003149021,0.00008871784,0.987919,0.00009276727,0.0001123167,0.0001634429,0.009867659,0.00001444101],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622443,0.002178716,0.003692169,0.01636832,0.000233763,0.0005680352,0.0002573837,0.00004212562,0.01441513],"genre_scores_gemma":[0.9922333,0.001133836,0.001787858,0.00197653,0.00002529346,0.0002107589,0.00004575479,0.00003089117,0.002555759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.169238,"threshold_uncertainty_score":0.4084134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7760640583515365,"score_gpt":0.6784212020585938,"score_spread":0.09764285629294267,"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."}}