{"id":"W7030315795","doi":"","title":"Mrs. Canada &amp; Keeping Race Out of COVID Variants","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Association (psychology); Coronavirus disease 2019 (COVID-19); Joins; Pandemic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009256715,0.0006162564,0.0004367333,0.001219975,0.01012615,0.006090841,0.0009742063,0.002169399,0.5474719],"category_scores_gemma":[0.005858242,0.0004415407,0.0003063511,0.001222589,0.001293319,0.004056753,0.003447534,0.003121757,0.310968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005502318,"about_ca_system_score_gemma":0.007388882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3270611,"about_ca_topic_score_gemma":0.6411161,"domain_scores_codex":[0.9988004,0.00007257485,0.00002250334,0.0001384149,0.0006941886,0.0002718938],"domain_scores_gemma":[0.9945472,0.0003490346,0.0001139415,0.0002945192,0.002442866,0.002252337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004316749,0.000002286861,0.00007761924,0.000006842962,2.468481e-7,0.00003048438,0.0001438663,0.000003191433,0.00004722436,0.0007550366,0.992381,0.0065478],"study_design_scores_gemma":[7.587597e-7,0.000001194501,0.0001282906,0.000009622805,4.61131e-7,0.00003358721,0.0002464104,0.000006031068,0.0000433159,0.00009645688,0.9994306,0.000003278516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001037841,0.0007509385,0.000891736,0.02314873,0.004906796,0.00005639176,0.002641684,0.002764915,0.9638009],"genre_scores_gemma":[0.003090458,0.0002555607,0.0003671732,0.002929216,0.0002033128,0.00001436541,0.0005845791,0.001394422,0.9911609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6729389,"threshold_uncertainty_score":0.6503148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066858488066739,"score_gpt":0.2059203079839983,"score_spread":0.1952517231033309,"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."}}