{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00547658,0.0004624477,0.0008963331,0.0007035244,0.0008302693,0.002003893,0.001021457,0.004373931,0.00275223],"category_scores_gemma":[0.008708536,0.0002313264,0.0006843964,0.0005998537,0.007552046,0.005745271,0.001206097,0.008892158,0.0009902999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009230034,"about_ca_system_score_gemma":0.001471454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008333573,"about_ca_topic_score_gemma":0.0007288515,"domain_scores_codex":[0.9984425,0.0006067198,0.0001946397,0.0002529206,0.0004030566,0.0001002483],"domain_scores_gemma":[0.9919875,0.006494008,0.0004986803,0.0002914479,0.0005654737,0.0001629276],"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":[0.0003523859,0.0001815723,0.001574136,0.01227738,0.0001974328,0.001910618,0.004102418,0.000836344,0.003369574,0.2384957,0.1892237,0.5474787],"study_design_scores_gemma":[0.00002031499,0.0001931426,0.0007840827,0.005120782,0.00008808119,0.003147252,0.002143883,0.0001526067,0.001220918,0.1278065,0.8592683,0.00005409154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.001780046,0.8039787,0.001694819,0.1755163,0.00924783,0.00001454685,0.0001108743,0.00002447751,0.007632422],"genre_scores_gemma":[0.02640348,0.8987646,0.001714915,0.05982288,0.01023298,0.00005462356,0.00008495886,0.00001459915,0.002906941],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.00547658,"threshold_uncertainty_score":0.02896327,"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."}}