{"id":"W3097037199","doi":"10.1177/0021934720964579","title":"TEST SEIRCRT |ˈsəːkrɪt |: For the Health of Our Communities","year":2020,"lang":"en","type":"article","venue":"Journal of Black Studies","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Race (biology); Epidemic model; Public health; 2019-20 coronavirus outbreak; Disease; Explanatory model; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Epidemic disease; Test (biology); Infectious disease (medical specialty); Demography; Econometrics; Psychology; Medicine; Virology; Sociology; Mathematics; Statistics; Biology; Outbreak; Gender studies; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004790982,0.0005335901,0.0006100566,0.0004735516,0.001276222,0.002105116,0.00198657,0.001319384,0.009971776],"category_scores_gemma":[0.02446449,0.0002266973,0.0007980315,0.0005418456,0.001460706,0.001624507,0.001612511,0.001739462,0.0008636198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01337302,"about_ca_system_score_gemma":0.02605233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6711929,"about_ca_topic_score_gemma":0.4782445,"domain_scores_codex":[0.9979652,0.0006574526,0.00005335856,0.0002956041,0.0005353398,0.0004929609],"domain_scores_gemma":[0.9941636,0.002581761,0.0006121905,0.0005050073,0.0015924,0.0005450835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000660659,0.0005860158,0.2396045,0.0002205692,0.000343201,0.0004629773,0.001994103,0.3026058,0.0007654043,0.3190889,0.05651793,0.07714989],"study_design_scores_gemma":[0.000176927,0.0006942705,0.04974741,0.000178441,0.0001249807,0.0001140011,0.004023628,0.7795877,0.001028549,0.1261619,0.03804293,0.0001192586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6559301,0.0004052686,0.09668431,0.06046511,0.0007415855,0.001102558,0.01627428,0.001202909,0.1671939],"genre_scores_gemma":[0.9797456,0.0001242141,0.01117384,0.00119055,0.00004259236,0.0002062924,0.00139143,0.00005307534,0.006072356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6711929,"threshold_uncertainty_score":0.6614869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6203768553440472,"score_gpt":0.5656428021621825,"score_spread":0.05473405318186464,"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."}}