{"id":"W3047385987","doi":"10.25384/sage.c.5086579.v1","title":"Visualizing the Geographic and Demographic Distribution of COVID-19","year":2020,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Geography; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Distribution (mathematics); Outbreak; Virology; Medicine; Infectious disease (medical specialty); Mathematics; Disease","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":[0.0003141527,0.0002556549,0.0001944945,0.004040013,0.0008310553,0.002096279,0.0003579069,0.000286487,0.005332087],"category_scores_gemma":[0.002476908,0.0001084925,0.0002410084,0.006415634,0.0003758571,0.0007227586,0.00113532,0.0004614336,0.0005964513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010257,"about_ca_system_score_gemma":0.003286963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6055613,"about_ca_topic_score_gemma":0.7102837,"domain_scores_codex":[0.9998205,0.00003105989,0.000008425222,0.00002901458,0.00006259234,0.00004833584],"domain_scores_gemma":[0.9986252,0.0004760851,0.0001272239,0.0000735972,0.0005186377,0.0001792412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003537886,0.000150888,0.4607131,0.000559632,0.0001466692,0.0008020075,0.03471162,0.01829685,0.003345952,0.03978613,0.2485214,0.192612],"study_design_scores_gemma":[0.00005812722,0.0000624024,0.472321,0.0005169205,0.00008970413,0.000453799,0.05380819,0.04344473,0.002366662,0.0124048,0.4143026,0.000171037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7240689,0.001861564,0.01820725,0.01217546,0.0004159101,0.0001465574,0.1136555,0.007287052,0.1221818],"genre_scores_gemma":[0.9493707,0.001000848,0.02393738,0.0002171664,0.00006017808,0.00006005934,0.01705983,0.000320889,0.007972962],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6055613,"threshold_uncertainty_score":0.7935232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1803673200000372,"score_gpt":0.4510014564988349,"score_spread":0.2706341364987978,"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."}}