{"id":"W7065272694","doi":"","title":"Differential Impacts during COVID-19 in \\nCanada: A Look at Diverse Individuals \\nand Their Businesses","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Indigenous; Population; Pandemic; Coronavirus disease 2019 (COVID-19); Miami; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ethnic group","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":[],"consensus_categories":[],"category_scores_codex":[0.0003079277,0.0001394572,0.0002010653,0.001133665,0.002694985,0.001546875,0.0005854501,0.000542354,0.003724637],"category_scores_gemma":[0.0007074653,0.0001326219,0.000253372,0.002152901,0.0006212394,0.000817262,0.001664542,0.0007134257,0.0003616407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002808191,"about_ca_system_score_gemma":0.002824713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.402716,"about_ca_topic_score_gemma":0.6990025,"domain_scores_codex":[0.9995484,0.00007105942,0.00002122597,0.00005916504,0.00008354086,0.0002166848],"domain_scores_gemma":[0.9992893,0.000066265,0.0001840261,0.00002171442,0.0002029384,0.0002356964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000053166,0.00007050837,0.9778147,0.00004115361,0.00002229933,0.0002878104,0.01237737,0.00003685378,0.0003772895,0.0002965599,0.0009834868,0.007638765],"study_design_scores_gemma":[7.413524e-7,0.00002787551,0.9561765,0.00002901368,0.000005460015,0.000056874,0.04191043,0.00003786877,0.00003067973,0.00002799342,0.001691312,0.000005287307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954422,0.0002742134,0.00003845578,0.0003665777,0.000008031372,0.00001533771,0.0006629764,0.000001810344,0.00319049],"genre_scores_gemma":[0.9953909,0.0006255431,0.00007328332,0.0002119747,0.00000867655,0.00002998606,0.0006661447,0.000002993901,0.002990545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.597284,"threshold_uncertainty_score":0.8007438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553491682467484,"score_gpt":0.2382227522088554,"score_spread":0.2126878353841806,"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."}}