{"id":"W3165733734","doi":"10.1101/2021.05.20.21256197","title":"Evaluation of silver nanoparticles for the prevention of SARS-CoV-2 infection in health workers: <i>in vitro</i> and <i>in vivo</i>","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Tomsk Polytechnic University","keywords":"Nose; Infection control; Medicine; Pandemic; Outbreak; Incidence (geometry); Risk of infection; Silver nanoparticle; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Randomized controlled trial; Internal medicine; Virology; Intensive care medicine; Surgery; Disease; Biology; 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":[0.006346535,0.0001339908,0.0003467402,0.0002138564,0.00002603833,0.00004071105,0.0001453334,0.0001336198,0.00002079302],"category_scores_gemma":[0.001232878,0.0001195901,0.0001159712,0.0003668448,0.00006772188,0.0001099387,0.0002082343,0.0002843564,0.000001186628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909879,"about_ca_system_score_gemma":0.000669199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007147581,"about_ca_topic_score_gemma":0.04293298,"domain_scores_codex":[0.9970317,0.0009157573,0.0006767226,0.0003560208,0.0007715091,0.0002482513],"domain_scores_gemma":[0.9987588,0.0003965663,0.0003213829,0.0003257784,0.0001641347,0.00003334866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006535321,0.0004876178,0.2521068,0.001576237,0.00005350341,0.000006326675,0.0003805798,0.001772982,0.7290983,0.00002112893,0.0001735504,0.01366941],"study_design_scores_gemma":[0.002507275,0.00008253102,0.3009655,0.0009960874,0.00004747257,0.000003559706,0.0003270952,0.007255283,0.6834868,0.004152046,0.00005046869,0.000125829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954701,0.002403847,0.0001592928,0.0001563012,0.000257751,0.001472224,0.00002687433,0.000006768231,0.00004686091],"genre_scores_gemma":[0.9990387,0.0003820348,0.0000659914,0.00005905839,0.00001828464,0.0003622618,0.00002047593,0.00001439581,0.00003882937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04885872,"threshold_uncertainty_score":0.9994639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015181562526932,"score_gpt":0.4097214423174704,"score_spread":0.3082032860647772,"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."}}