{"id":"W4313494313","doi":"10.1101/2023.01.02.23284109","title":"Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; BlueDot (Canada)","funders":"Medical Research Council; Directorate for Biological Sciences; European Commission; Rockefeller Foundation; National Institute for Health and Care Research; UK Research and Innovation; Biotechnology and Biological Sciences Research Council; Department of Health and Social Care; Wellcome Trust","keywords":"Biological dispersal; Geography; Spatial epidemiology; Population; Economic geography; Transmission (telecommunications); Spatial ecology; Incidence (geometry); Human migration; Demography; Evolutionary biology; Cartography; Biology; Ecology; Epidemiology; Medicine; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003076026,0.0001749576,0.0002507924,0.0007555252,0.0002096369,0.0006332214,0.0001237344,0.0002681976,0.003167337],"category_scores_gemma":[0.0008767312,0.0001498718,0.000338923,0.0009429735,0.0001689835,0.0002064908,0.0003647095,0.0003876986,0.0005424372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045515,"about_ca_system_score_gemma":0.0002281634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007511871,"about_ca_topic_score_gemma":0.00953203,"domain_scores_codex":[0.9998181,0.00003637978,0.00000941972,0.00008656359,0.00002128857,0.00002816469],"domain_scores_gemma":[0.9994189,0.0001532434,0.0002112297,0.00005693321,0.0000723818,0.00008731712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000704346,0.00007046016,0.8631249,0.0002063391,0.0002469586,0.000426528,0.001146356,0.002717207,0.1154792,0.0008808286,0.00149801,0.01349892],"study_design_scores_gemma":[0.000009331335,0.0001004363,0.9915199,0.00002359339,0.00004553891,0.0003459945,0.0004891395,0.002431736,0.001799007,0.000169721,0.003057473,0.000008313928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940223,0.0001825098,0.0007915926,0.000065156,0.000003834554,0.000009408856,0.004109104,0.00001519416,0.0008009626],"genre_scores_gemma":[0.9915692,0.0001220647,0.001174007,0.00004434896,0.00000497527,0.00001103307,0.00619986,0.00001442647,0.0008601935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007511871,"threshold_uncertainty_score":0.01493633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046815710934557,"score_gpt":0.3988290940818072,"score_spread":0.2941475229883515,"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."}}