{"id":"W4200292078","doi":"10.2196/35515","title":"Authors' Response to Peer Reviews of “COVID-19 Outcomes and Genomic Characterization of SARS-CoV-2 Isolated From Veterans in New England States: Retrospective Analysis”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Sars virus; Medicine; Computational biology; Biology; Pathology; Infectious disease (medical specialty)","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":[0.02350085,0.0008530685,0.002003523,0.002516055,0.003242778,0.00485483,0.002039777,0.008900739,0.07800284],"category_scores_gemma":[0.2859862,0.0007121467,0.001740432,0.001681692,0.001845726,0.002403337,0.003114949,0.009599555,0.04449016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00337127,"about_ca_system_score_gemma":0.01060603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004777791,"about_ca_topic_score_gemma":0.007750457,"domain_scores_codex":[0.9658056,0.008233986,0.005756559,0.001754323,0.01693536,0.001514215],"domain_scores_gemma":[0.7011681,0.04913549,0.0106658,0.006725924,0.2253302,0.006974499],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003385526,0.000005051445,0.0001267701,0.0001665671,0.000009736173,0.00004417223,0.00006081106,0.000009231641,0.00003426927,0.0001646229,0.996356,0.002988902],"study_design_scores_gemma":[0.00006300366,0.00003056311,0.0009590603,0.0008644806,0.00002725701,0.0001702676,0.0004549009,0.0001630817,0.0002159315,0.0004995828,0.9965031,0.00004876185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006399922,0.001757307,0.000835042,0.5805109,0.403988,0.0003264883,0.002049332,0.0005155531,0.009377278],"genre_scores_gemma":[0.0195883,0.006210736,0.003533857,0.6175654,0.2296258,0.001315286,0.003026796,0.001309869,0.117824],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9764991,"threshold_uncertainty_score":0.2609455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08665920413322745,"score_gpt":0.4565980831681778,"score_spread":0.3699388790349504,"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."}}