{"id":"W3170052290","doi":"10.1136/bmjophth-2021-000765","title":"In vitro efficacy of topical ophthalmic antiseptics against SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"BMJ Open Ophthalmology","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Canadian Science Centre for Human and Animal Health; Public Health Agency of Canada; University Health Network; University of Toronto; Kensington Health; Public Health Ontario","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Antiseptic; Medicine; Chlorhexidine; Coronavirus disease 2019 (COVID-19); Chlorhexidine gluconate; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Artificial tears; Dermatology; Ophthalmology; Dentistry; Internal medicine; Pathology; Infectious disease (medical specialty)","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":[0.0007986242,0.0008363576,0.000772236,0.0003379469,0.0003577573,0.0007131501,0.0004875759,0.0005271902,0.001693931],"category_scores_gemma":[0.0006380262,0.0003001264,0.000803152,0.0005145871,0.0002584885,0.0003559902,0.0004091844,0.0007097201,0.000471466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124813,"about_ca_system_score_gemma":0.0004761406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005337026,"about_ca_topic_score_gemma":0.005564371,"domain_scores_codex":[0.9988819,0.0002774997,0.0001895345,0.0001437167,0.0003405061,0.0001668128],"domain_scores_gemma":[0.9993328,0.0002590105,0.0001030156,0.00005843766,0.000198222,0.00004845637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006539894,0.0005449782,0.0008849716,0.00049429,0.00005836982,0.00009636726,0.0001731299,0.0006456226,0.9925881,0.0000944384,0.000356497,0.003409351],"study_design_scores_gemma":[0.00004903719,0.007480837,0.007033638,0.00005023364,0.0001172006,0.0001525295,0.0001707518,0.002058767,0.9805901,0.00003657256,0.002230635,0.00002981486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844869,0.00745402,0.001345745,0.0001425788,0.000189166,0.0002180641,0.002475341,0.00004873525,0.003639393],"genre_scores_gemma":[0.9801237,0.005577319,0.006112651,0.0001546616,0.0001049241,0.0002042948,0.003049985,0.0000258683,0.004646731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005337026,"threshold_uncertainty_score":0.01061195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286011463271956,"score_gpt":0.4303455557672748,"score_spread":0.3374854411345553,"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."}}