{"id":"W3036668249","doi":"10.3389/fphar.2020.00937","title":"A Snapshot of the Global Race for Vaccines Targeting SARS-CoV-2 and the COVID-19 Pandemic","year":2020,"lang":"en","type":"review","venue":"Frontiers in Pharmacology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institutes of Health; Queen's University; GAVI Alliance","keywords":"Pandemic; Global health; Coronavirus; Repurposing; Virology; Medicine; Coronavirus disease 2019 (COVID-19); Population; Drug development; Intensive care medicine; Infectious disease (medical specialty); Disease; Biology; Public health; Environmental health; Drug; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001779568,0.0005903018,0.0006818021,0.0008529307,0.0004201156,0.002349177,0.0004441157,0.001771148,0.006355029],"category_scores_gemma":[0.00163256,0.0002429876,0.0005212243,0.000748033,0.0006084046,0.003273721,0.001127129,0.004400109,0.002460417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009437514,"about_ca_system_score_gemma":0.002149179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007949049,"about_ca_topic_score_gemma":0.002326783,"domain_scores_codex":[0.9995109,0.0001561883,0.00004522604,0.00005738973,0.0001423908,0.00008785726],"domain_scores_gemma":[0.9990521,0.0003502271,0.00008524384,0.00002698586,0.000273019,0.000212464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008069308,0.0003444972,0.000953084,0.01061395,0.0001187328,0.0007228378,0.0006099871,0.0008884199,0.01349611,0.03176738,0.235412,0.7042661],"study_design_scores_gemma":[0.00002943649,0.0004163526,0.001004414,0.001956566,0.00005908794,0.0005175553,0.0002715731,0.0001200398,0.001077799,0.005365623,0.9891586,0.00002295297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002297701,0.9509972,0.001181773,0.02779923,0.004299815,0.00002420002,0.00026864,0.0001179348,0.01301357],"genre_scores_gemma":[0.01533338,0.955432,0.003298472,0.01648468,0.002781311,0.00004858874,0.0003317348,0.00004340232,0.006246344],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006355029,"threshold_uncertainty_score":0.02125967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09698838858967819,"score_gpt":0.4482133855032966,"score_spread":0.3512249969136184,"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."}}