{"id":"W4214778001","doi":"10.3390/nano12050783","title":"Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment","year":2022,"lang":"en","type":"review","venue":"Nanomaterials","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nanomaterials; Betacoronavirus; Medicine; Nanotechnology; Intensive care medicine; Virology; Materials science; Pathology; Disease","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001135497,0.0008464,0.00356634,0.0007947973,0.0004856339,0.000315155,0.0003358154,0.0004431407,0.001475476],"category_scores_gemma":[0.001139049,0.0006597796,0.0006270056,0.0006389862,0.0001036792,0.0001149877,0.0004518869,0.000139259,0.0003007848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685672,"about_ca_system_score_gemma":0.002607129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005017346,"about_ca_topic_score_gemma":0.00002826814,"domain_scores_codex":[0.9951547,0.0008785875,0.001355994,0.00133359,0.0005389748,0.0007381243],"domain_scores_gemma":[0.9974912,0.0006062543,0.0004539491,0.001047994,0.00007197405,0.0003286458],"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":[0.0002038585,0.001117706,0.0001999521,0.02238836,0.001143102,0.0004581854,0.0003022704,2.857698e-8,0.01232819,0.00007292309,0.002763114,0.9590223],"study_design_scores_gemma":[0.001159441,0.001391349,0.00001446215,0.001441706,0.001488736,0.0004442508,0.0000244975,9.586998e-8,0.01124277,0.00002940657,0.9822075,0.0005557674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01975359,0.9683642,0.000004181372,0.000131924,0.002671879,0.007136327,0.001132114,0.0003599277,0.000445895],"genre_scores_gemma":[0.00006506974,0.9798155,0.0001367768,0.003596189,0.001151575,0.0142581,0.0002398165,0.000178867,0.0005581075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9794444,"threshold_uncertainty_score":0.9995853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366877152093701,"score_gpt":0.4429073737958392,"score_spread":0.3062196585864692,"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."}}