{"id":"W3119564508","doi":"10.1016/j.dental.2020.12.004","title":"Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence","year":2021,"lang":"en","type":"review","venue":"Dental Materials","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Ministry of Education - Singapore","keywords":"Infectivity; Drug delivery; Antiviral drug; Risk analysis (engineering); Drug; Nanotechnology; Materials science; Biology; Medicine; Virology; Virus; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007580872,0.0009762727,0.001434227,0.002463387,0.0003258876,0.001624956,0.0008469087,0.001655444,0.00456308],"category_scores_gemma":[0.0006538872,0.0003282314,0.0006061453,0.002396082,0.0006523137,0.001833525,0.0007701713,0.002250266,0.001973868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007768591,"about_ca_system_score_gemma":0.001361528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127542,"about_ca_topic_score_gemma":0.002947229,"domain_scores_codex":[0.9997491,0.00003854485,0.00002150092,0.00003741108,0.0001231305,0.0000303998],"domain_scores_gemma":[0.9997057,0.0001558959,0.00003895054,0.000009340875,0.00006670013,0.00002335636],"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":[0.00006602021,0.0001346666,0.0001236232,0.01852005,0.00008863823,0.0001237685,0.00005312669,0.0004258418,0.004939015,0.01246339,0.0442756,0.9187862],"study_design_scores_gemma":[0.00001531801,0.00009067969,0.0003161099,0.002540592,0.00006484159,0.0003638323,0.00005937637,0.0001309505,0.0008585713,0.003361766,0.9921792,0.00001876643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008039383,0.9983073,0.000140512,0.0002633977,0.0002757045,0.000003540707,0.00001172778,0.000006286689,0.0009110484],"genre_scores_gemma":[0.0006509324,0.9977106,0.0003306259,0.0002409903,0.0002404783,0.000006097686,0.00002507783,0.000001588656,0.0007935465],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00456308,"threshold_uncertainty_score":0.01526505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0983696088753691,"score_gpt":0.3928043439707545,"score_spread":0.2944347350953854,"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."}}