{"id":"W3158053289","doi":"10.1093/cid/ciab389","title":"Premarket Development Times for Innovative Vaccines––To What Extent Are the Coronavirus Disease 2019 (COVID-19) Vaccines Outliers?","year":2021,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Novo Nordisk Fonden; Canadian Institutes of Health Research; Arnold Ventures","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Timeline; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; 2019-20 coronavirus outbreak; Pandemic; Coronavirus; Infectious disease (medical specialty); Disease; Outbreak; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00952698,0.0003706434,0.0004706476,0.003291992,0.0004906974,0.003228683,0.0007829279,0.0007523169,0.006596484],"category_scores_gemma":[0.05147662,0.0003066635,0.0009548577,0.004094079,0.000491927,0.003287361,0.001106228,0.001656471,0.002836895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600269,"about_ca_system_score_gemma":0.001340744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614159,"about_ca_topic_score_gemma":0.005166758,"domain_scores_codex":[0.9937631,0.001187464,0.0009006702,0.001388258,0.001985931,0.0007744525],"domain_scores_gemma":[0.9393889,0.01808613,0.03121868,0.002969132,0.006254027,0.002083027],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075282,0.0001196614,0.8764693,0.0002704941,0.0003018455,0.0002193756,0.00158129,0.002608522,0.001458599,0.005795169,0.01204115,0.09805939],"study_design_scores_gemma":[0.00005024189,0.0006315032,0.9296961,0.0002043591,0.000150763,0.0006458633,0.001687829,0.004848939,0.00364691,0.004541545,0.05381631,0.00007958604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926541,0.005857574,0.0136571,0.006942966,0.0004626545,0.000127108,0.020613,0.0004547311,0.02534381],"genre_scores_gemma":[0.9768249,0.001394102,0.00331431,0.0007647202,0.000328075,0.0001583121,0.0133873,0.0001936913,0.003634602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.990473,"threshold_uncertainty_score":0.0503841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199349809407217,"score_gpt":0.456614512075691,"score_spread":0.3366795311349692,"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."}}