{"id":"W4223480651","doi":"10.1186/s13104-022-06020-4","title":"CovidVisualized: Visualized compilation of international updated models’ estimates of COVID-19 pandemic at global and country levels","year":2022,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Estimation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Regional science; Library science; Political science; Medicine; Computer science; Economics; Outbreak","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":[0.003347123,0.002657134,0.001012653,0.006580408,0.0006099932,0.003395197,0.002356791,0.001108126,0.07826901],"category_scores_gemma":[0.01836652,0.0009759807,0.002181975,0.006219568,0.0003849119,0.003450085,0.00332099,0.002125171,0.02527093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583507,"about_ca_system_score_gemma":0.003882525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04377442,"about_ca_topic_score_gemma":0.04409162,"domain_scores_codex":[0.9987233,0.0003115456,0.0001782765,0.0002461555,0.0003830608,0.0001577163],"domain_scores_gemma":[0.9882668,0.005138882,0.0008805359,0.002358179,0.002821035,0.0005345444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003091664,0.00006409203,0.007260532,0.001266852,0.0001122712,0.0002048993,0.0006179668,0.01061065,0.0005263634,0.004221619,0.9430043,0.03180138],"study_design_scores_gemma":[0.0003424658,0.0001203492,0.01569909,0.001329085,0.0001565323,0.0002109967,0.0008103648,0.03004271,0.002775625,0.008492263,0.9397543,0.000266082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006412681,0.0004635239,0.02008804,0.0009934802,0.0007592998,0.0002515072,0.874437,0.07186254,0.02473192],"genre_scores_gemma":[0.03646412,0.0008895624,0.04406409,0.0003642984,0.0002149354,0.0007024372,0.8884845,0.01973867,0.009077293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07826901,"threshold_uncertainty_score":0.2618359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.729262284936731,"score_gpt":0.6088963670836854,"score_spread":0.1203659178530455,"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."}}