{"id":"W4311144211","doi":"10.1016/j.robot.2022.104332","title":"UV Disinfection Robots: A Review","year":2022,"lang":"en","type":"review","venue":"Robotics and Autonomous Systems","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council","keywords":"Robot; Computer science; Coronavirus disease 2019 (COVID-19); Water disinfection; Pandemic; Risk analysis (engineering); Process (computing); Ultraviolet; 2019-20 coronavirus outbreak; Environmental science; Business; Medicine; Artificial intelligence; Materials science; Environmental engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000660966,0.001234719,0.001909326,0.002833044,0.0002717025,0.0013602,0.0009710565,0.001629123,0.003987202],"category_scores_gemma":[0.001088157,0.0004768489,0.000802771,0.00263666,0.0004911829,0.001721697,0.0009218876,0.001140913,0.001783326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284217,"about_ca_system_score_gemma":0.001439601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358333,"about_ca_topic_score_gemma":0.002207075,"domain_scores_codex":[0.999689,0.00004576184,0.0000470918,0.00006739005,0.0001222441,0.00002853493],"domain_scores_gemma":[0.9994739,0.0002904284,0.00008449054,0.00001387265,0.000103932,0.00003347115],"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":[0.0001025171,0.00008435706,0.0001626799,0.04586081,0.0001198459,0.00008667899,0.00004615337,0.0006203202,0.001427854,0.001557839,0.02095109,0.9289798],"study_design_scores_gemma":[0.00004188459,0.0002508794,0.00110837,0.01356819,0.0004376658,0.001039825,0.0001118423,0.0003481988,0.0008611274,0.001725355,0.9804513,0.0000553403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008402185,0.9989993,0.0001882064,0.00006864533,0.0001239389,0.000005681688,0.00001623032,0.000007735536,0.0005062589],"genre_scores_gemma":[0.0006170005,0.9982811,0.0003699938,0.0001110713,0.0001289674,0.000009136656,0.00002845274,0.000002274499,0.0004519928],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003987202,"threshold_uncertainty_score":0.01333851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05097916089236203,"score_gpt":0.3233500774957663,"score_spread":0.2723709166034043,"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."}}