{"id":"W3088793221","doi":"10.1101/2020.09.23.310565","title":"COVID-19 CG: Tracking SARS-CoV-2 mutations by locations and dates of interest","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Stanley Center for Psychiatric Research, Broad Institute; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Scheme for Promotion of Academic and Research Collaboration; Broad Institute","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Biology; Medicine; Outbreak; Internal medicine; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005284877,0.0005168958,0.0008288734,0.0004905686,0.0001888817,0.0001793808,0.0005138491,0.0004858975,0.00001472587],"category_scores_gemma":[0.002539846,0.0005536646,0.0001728718,0.0007882716,0.0004795603,0.0001711482,0.0005569967,0.001088554,0.00004784837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959462,"about_ca_system_score_gemma":0.002942097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005308247,"about_ca_topic_score_gemma":0.00002917866,"domain_scores_codex":[0.9970148,0.0001531113,0.0007744212,0.001104694,0.0004506211,0.0005024011],"domain_scores_gemma":[0.9972286,0.0002911209,0.0004026612,0.001130962,0.000645613,0.0003010465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009315447,0.0002434502,0.01885409,0.002048338,0.0002928216,0.00009081128,0.00008965896,0.000001183438,0.9750467,0.000741614,0.002491561,0.000006638302],"study_design_scores_gemma":[0.00123275,0.0001376751,0.01057827,0.0005219493,0.0003000943,2.034964e-7,0.00003182327,0.0006531264,0.9390442,0.00002668043,0.04695161,0.0005215805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844881,0.002479088,0.006421232,0.003969762,0.0002773942,0.001300929,0.000656598,0.0003758168,0.00003105743],"genre_scores_gemma":[0.9783269,0.00007825208,0.001554071,0.01949321,0.0001996111,0.0002146395,0.000003270934,0.0001290212,0.000001031454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04446005,"threshold_uncertainty_score":0.9996915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09670686777087238,"score_gpt":0.3467287701898896,"score_spread":0.2500219024190172,"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."}}