{"id":"W3025717907","doi":"10.2196/19170","title":"A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Phylogenetic tree; Genome; Biology; Pandemic; Phylogenetics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Inference; Phylogeography; Evolutionary biology; Data science; Geography; Coronavirus disease 2019 (COVID-19); Genetics; Computer science; Infectious disease (medical specialty); Medicine; Gene; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003907877,0.0005595334,0.0004989345,0.005732019,0.0005917648,0.001508959,0.0006933725,0.0006616987,0.002033202],"category_scores_gemma":[0.01049779,0.0002992056,0.0008048184,0.007961923,0.000324745,0.000950571,0.001472647,0.0008638037,0.0008414929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195057,"about_ca_system_score_gemma":0.002213854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255289,"about_ca_topic_score_gemma":0.02431995,"domain_scores_codex":[0.9977557,0.0006487218,0.0003175742,0.0004469439,0.0005157668,0.0003152865],"domain_scores_gemma":[0.9915419,0.002350969,0.001939702,0.0004625506,0.002744756,0.0009601745],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001826783,0.0001711203,0.829173,0.003155525,0.0008593031,0.001505891,0.001538796,0.01057408,0.006614333,0.001977702,0.05441906,0.0881843],"study_design_scores_gemma":[0.0000313051,0.0001540792,0.9188813,0.0007606286,0.0002000493,0.0006265265,0.001388977,0.004022267,0.002286329,0.0008432622,0.07072417,0.00008109499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4672974,0.00878134,0.006812963,0.003497896,0.0002742836,0.000230439,0.5042149,0.0006749943,0.008215785],"genre_scores_gemma":[0.5975757,0.003855665,0.02129224,0.0007882602,0.0001863548,0.0004778861,0.3744432,0.0001521641,0.001228442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9960921,"threshold_uncertainty_score":0.04484326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794134686620215,"score_gpt":0.4227511817967881,"score_spread":0.2433377131347665,"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."}}