{"id":"W4220958872","doi":"10.1016/s0140-6736(22)00524-4","title":"DNA vaccines join the fight against COVID-19","year":2022,"lang":"en","type":"letter","venue":"The Lancet","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Join (topology); Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Coronavirus Infections; DNA vaccination; DNA; Computational biology; Medicine; Biology; Genetics; Outbreak; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006896369,0.001716182,0.001653105,0.001094381,0.005234214,0.007670414,0.001759621,0.09212881,0.01220933],"category_scores_gemma":[0.02570363,0.001024286,0.001715994,0.0008911203,0.004927083,0.006390658,0.003310131,0.04797718,0.01030205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005563719,"about_ca_system_score_gemma":0.007850892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009957226,"about_ca_topic_score_gemma":0.01545138,"domain_scores_codex":[0.9948713,0.001460729,0.0003921055,0.0004892832,0.001829311,0.0009573994],"domain_scores_gemma":[0.9906265,0.004234651,0.0006881009,0.0002530412,0.001273572,0.002924149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001119021,0.0000520692,0.0003306213,0.00006818958,0.00002020914,0.0004929896,0.00009422923,0.00003776763,0.0002943008,0.004081938,0.9857771,0.008638652],"study_design_scores_gemma":[0.0002936758,0.0001076611,0.0006678276,0.0002059611,0.00002782422,0.0002972968,0.0002497343,0.0002291835,0.0001965385,0.01072221,0.9869627,0.00003933121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002006777,0.002917885,0.00009636209,0.9699867,0.0228197,0.00002036511,0.00006498248,0.00002437814,0.003868996],"genre_scores_gemma":[0.002060012,0.00126633,0.0001982636,0.9547423,0.03128948,0.000043026,0.00002850742,0.00002439386,0.01034783],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.09212881,"threshold_uncertainty_score":0.04084426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08512928242947126,"score_gpt":0.3606089930801016,"score_spread":0.2754797106506303,"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."}}