{"id":"W3181350548","doi":"10.3390/nano11071788","title":"Recent Progress in Nanotechnology for COVID-19 Prevention, Diagnostics and Treatment","year":2021,"lang":"en","type":"review","venue":"Nanomaterials","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Sherbrooke","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Nanotechnology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Risk analysis (engineering); Medicine; Materials science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003668346,0.0003316094,0.001864471,0.0002791568,0.00006525457,0.00004639521,0.00006268962,0.000532634,0.00005697138],"category_scores_gemma":[0.002342064,0.0002604953,0.0001728176,0.0002653725,0.00007212205,0.00002120487,0.00005628168,0.0000698618,0.000009604621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507175,"about_ca_system_score_gemma":0.0008558846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006973504,"about_ca_topic_score_gemma":0.00002204142,"domain_scores_codex":[0.9981821,0.0001825076,0.0007795558,0.0004949551,0.00009086122,0.0002700572],"domain_scores_gemma":[0.9986845,0.0004949163,0.0003625075,0.0003024719,0.00007842299,0.00007713072],"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":[0.00002245191,0.0001955805,0.00006879783,0.007544056,0.0001176239,0.000136765,0.00003025328,7.512116e-9,0.0001190398,0.00005959517,0.0001586478,0.9915472],"study_design_scores_gemma":[0.001489411,0.0005378576,0.000002722817,0.006245592,0.000713661,0.0006838789,0.00001107199,7.54831e-7,0.004605133,0.00004947768,0.9854599,0.0002004958],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005111427,0.9903832,0.00002107505,0.0001650063,0.0006830425,0.003388862,0.0000810366,0.0001493226,0.00001699669],"genre_scores_gemma":[0.00003029874,0.9955896,0.00126875,0.0001698476,0.0002049649,0.002359013,0.0002177208,0.00005427311,0.0001055715],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913467,"threshold_uncertainty_score":0.9999847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.160637700459705,"score_gpt":0.4418668754390533,"score_spread":0.2812291749793484,"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."}}