{"id":"W4295519628","doi":"10.1503/cmaj.220688","title":"NVX-CoV2373, a protein-based vaccine against SARS-CoV-2 infection","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"Health Canada","keywords":"Vaccination; Adjuvant; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Messenger RNA; Virology; Recombinant DNA; Protein subunit; Medicine; Spike Protein; 2019-20 coronavirus outbreak; Coronavirus disease 2019 (COVID-19); Immunology; Biology; Pathology; Outbreak; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001203393,0.0002142713,0.0002566281,0.0002335706,0.0003426229,0.000313554,0.0001568473,0.0003934814,0.003701693],"category_scores_gemma":[0.000184725,0.0000460742,0.0001525638,0.0002027057,0.0001733115,0.0001623276,0.0001607932,0.00055013,0.0007283891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398106,"about_ca_system_score_gemma":0.0006756055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363935,"about_ca_topic_score_gemma":0.007100203,"domain_scores_codex":[0.9999063,0.00001295423,0.00000446962,0.000009745507,0.0000470304,0.00001951492],"domain_scores_gemma":[0.999961,0.000003018192,0.000007311625,0.000001205862,0.00001097654,0.00001646092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001358157,0.001369937,0.005201761,0.001209051,0.00004939184,0.001703029,0.0001572861,0.000758258,0.4838136,0.003982331,0.04029519,0.460102],"study_design_scores_gemma":[0.000723851,0.01519271,0.04514497,0.0005051312,0.0001263822,0.01202736,0.0003586434,0.001722386,0.2945808,0.001289005,0.6282541,0.00007468744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7826547,0.1020712,0.01390089,0.009847241,0.004070282,0.001329697,0.003099946,0.001066275,0.08195982],"genre_scores_gemma":[0.8980613,0.03931921,0.009329907,0.002071246,0.0008920923,0.0002261451,0.003161071,0.00005271697,0.04688614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005363935,"threshold_uncertainty_score":0.0123834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081840564596269,"score_gpt":0.3060699026092523,"score_spread":0.2852514969632896,"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."}}