{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068698,0.0005505541,0.0006696354,0.0006597564,0.0002662909,0.001244317,0.0007685108,0.002129914,0.005309112],"category_scores_gemma":[0.0009988825,0.0002116671,0.0005132928,0.0002720073,0.0006244161,0.00154879,0.0007918721,0.002476724,0.002014116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007472906,"about_ca_system_score_gemma":0.001123971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006707307,"about_ca_topic_score_gemma":0.001209687,"domain_scores_codex":[0.9995232,0.0001297417,0.00002587594,0.00007068508,0.0001702868,0.00008035545],"domain_scores_gemma":[0.9994341,0.0001417444,0.00008038937,0.00002568879,0.0002155504,0.0001025058],"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":[0.0004904192,0.0005782241,0.001759431,0.006769999,0.0001641901,0.0007403665,0.0001529393,0.001649361,0.07657458,0.04102504,0.1594183,0.7106771],"study_design_scores_gemma":[0.0001071335,0.001064543,0.001595632,0.001585441,0.000106211,0.001410618,0.0002186003,0.002425288,0.02243417,0.01971957,0.9492772,0.0000555866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006833717,0.9193944,0.01464742,0.04543355,0.00443352,0.00007798788,0.0003064826,0.0003429425,0.008529959],"genre_scores_gemma":[0.0817479,0.8542163,0.02170141,0.02211227,0.005487627,0.0002518134,0.0008340412,0.00009437519,0.01355408],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005309112,"threshold_uncertainty_score":0.01776075,"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."}}