{"id":"W3049021040","doi":"10.3390/v12080895","title":"A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture","year":2020,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Manitoba; Public Health Agency of Canada; University of Toronto; University Health Network; Dalhousie University; Health Sciences Centre; Sunnybrook Health Science Centre; Perimeter Institute; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Amplicon; Genome; Biology; Multiplex; Multiple displacement amplification; Computational biology; DNA sequencing; Polymerase chain reaction; Genetics; Virology; Gene; DNA extraction","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002691505,0.0002244966,0.0008443246,0.0001940415,0.00006652973,0.00002509688,0.0001605706,0.0001383269,0.00001193231],"category_scores_gemma":[0.0003362855,0.0001981758,0.0001289548,0.0004398793,0.0002915114,0.0001049264,0.00007665974,0.0003068209,0.000009827541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664719,"about_ca_system_score_gemma":0.0007894367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002955529,"about_ca_topic_score_gemma":0.00005755349,"domain_scores_codex":[0.9982003,0.0001008366,0.0005284898,0.000372439,0.0004686998,0.0003292542],"domain_scores_gemma":[0.9989973,0.000225017,0.0002307118,0.0003031028,0.0001777343,0.00006618923],"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":[0.0007470223,0.00004736629,0.07457969,0.0006228109,0.00009017066,0.00003419357,0.002000505,0.00006540956,0.9215308,0.00001426685,0.00008573342,0.0001819969],"study_design_scores_gemma":[0.003902089,0.000344371,0.0005275462,0.0002311459,0.000137478,0.00001118197,0.001263226,0.01208374,0.9702036,0.00001444562,0.01110046,0.0001806526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994782,0.002520205,0.00163422,0.0001536326,0.00003156485,0.0004690741,0.00006521711,0.00005292192,0.0002911061],"genre_scores_gemma":[0.9667871,0.000003286823,0.001008584,0.03206208,0.00008732505,0.000007870386,0.000004925445,0.00003764467,0.000001191729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07405214,"threshold_uncertainty_score":0.8081372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025658069773117,"score_gpt":0.4022353769418807,"score_spread":0.199669569964569,"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."}}