{"id":"W3036210363","doi":"10.1099/jgv.0.001458","title":"Insights into SARS-CoV-2, the Coronavirus Underlying COVID-19: Recent Genomic Data and the Development of Reverse Genetics Systems","year":2020,"lang":"en","type":"article","venue":"Journal of General Virology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; International Development Research Centre","keywords":"Biology; Coronavirus; Virology; Genome; Pandemic; Reverse genetics; Genetics; Population; Coronavirus disease 2019 (COVID-19); Disease; Computational biology; Infectious disease (medical specialty); Gene; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029173,0.0006138266,0.0007399328,0.0009862074,0.0002565562,0.001264067,0.0003734635,0.0007893339,0.001083724],"category_scores_gemma":[0.000695255,0.0003742538,0.0005454776,0.0007056493,0.0009892484,0.00212119,0.0004909194,0.002680736,0.0005270774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113984,"about_ca_system_score_gemma":0.0006402523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007850032,"about_ca_topic_score_gemma":0.001079947,"domain_scores_codex":[0.999761,0.00005449329,0.00003051018,0.00005856086,0.00007196098,0.00002345735],"domain_scores_gemma":[0.9995443,0.0002090537,0.00008688945,0.00003384684,0.00007376406,0.0000521153],"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":[0.0004548934,0.0002018385,0.001864419,0.004284991,0.00008022424,0.0006812363,0.000557209,0.002169884,0.6370687,0.02399778,0.003713197,0.3249256],"study_design_scores_gemma":[0.00005806085,0.001990718,0.00734702,0.0007731299,0.0003763687,0.003919139,0.0007697837,0.004831857,0.3130278,0.03387202,0.6328538,0.000180307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08458774,0.7922735,0.09036,0.01540271,0.001552199,0.0001345986,0.001134785,0.0005371107,0.01401734],"genre_scores_gemma":[0.1300046,0.7681967,0.08923113,0.004260159,0.00157776,0.00007654439,0.002339219,0.0001168777,0.004197052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001264067,"threshold_uncertainty_score":0.005887151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2370783514596827,"score_gpt":0.4130702975109495,"score_spread":0.1759919460512668,"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."}}