{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005958728,0.0002680207,0.0003263656,0.00245273,0.0003247912,0.00007126128,0.000435001,0.00007134605,0.0005888492],"category_scores_gemma":[0.00005152584,0.0002467521,0.0001212989,0.005977293,0.00008309607,0.0002533932,0.0004712992,0.0003346734,0.00002087027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987445,"about_ca_system_score_gemma":0.0009594287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1123529,"about_ca_topic_score_gemma":0.006247262,"domain_scores_codex":[0.9981819,0.0001501075,0.0001740203,0.0004939107,0.0002898708,0.0007101992],"domain_scores_gemma":[0.9990911,0.0001235333,0.00008753282,0.0002008548,0.00005957351,0.000437362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002113531,0.001393621,0.9305437,0.0006262275,0.0007408788,0.001174727,0.02319926,0.0001978018,0.007684147,0.003382966,0.004391949,0.02455118],"study_design_scores_gemma":[0.009837488,0.0006360012,0.04526554,0.00006927126,0.0001432689,0.00001044067,0.001813676,0.0005605675,0.01845091,0.00003004606,0.921997,0.00118582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618148,0.000003182292,0.0002696454,0.0009632319,0.00002674556,0.0004619726,0.00007341492,0.00006395069,0.03632302],"genre_scores_gemma":[0.9971707,0.002349391,0.00002658477,0.0001337689,0.0001491915,0.000003928979,0.00004222537,0.00002084258,0.0001034057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.917605,"threshold_uncertainty_score":0.9999985,"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."}}