{"id":"W3124549952","doi":"10.51441/biomedica/5-72","title":"Will COVID-19 Vaccine Genetically Modify Humans? Facts and Myths","year":2020,"lang":"en","type":"article","venue":"BIOMEDICA","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Population; Raising (metalworking); Mythology; Genetically modified organism; Political science; Medicine; Risk analysis (engineering); Virology; Environmental health; Biology; Engineering; History; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002563731,0.000202717,0.0003690222,0.000166401,0.0001277571,0.00003637596,0.0002141663,0.0001908516,0.0002440973],"category_scores_gemma":[0.001024389,0.0001618719,0.0000753009,0.0004316391,0.0002232956,0.00007205869,0.000190662,0.0002999752,0.0002105841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008018589,"about_ca_system_score_gemma":0.0006513881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004657004,"about_ca_topic_score_gemma":0.000007310461,"domain_scores_codex":[0.9979306,0.00004974397,0.000322314,0.0005211301,0.000716746,0.0004594938],"domain_scores_gemma":[0.9987215,0.0001318304,0.00004813146,0.0003253502,0.00007563953,0.0006974908],"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":[0.001915064,0.0005735809,0.02598311,0.002345565,0.0004360477,0.001839639,0.006592051,2.576417e-7,0.7785051,0.0008988038,0.09440742,0.0865033],"study_design_scores_gemma":[0.003891482,0.0007928076,0.004889652,0.00003657386,0.00006786138,0.00005267345,0.0002389126,0.0008187111,0.007265878,0.0002283547,0.9815081,0.0002089759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798079,0.003653522,0.009451544,0.09969098,0.0001973228,0.001032634,0.00004921309,0.0004046502,0.005712259],"genre_scores_gemma":[0.7223313,0.00005789669,0.0008896526,0.276012,0.0005970725,0.0000181236,0.00001426987,0.00003339458,0.00004622872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8871007,"threshold_uncertainty_score":0.6600944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091376739829158,"score_gpt":0.3596042141989196,"score_spread":0.2986904468006281,"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."}}