{"id":"W3120203870","doi":"10.1016/j.jcjo.2021.01.003","title":"Conjunctival carriage of SARS-CoV-2 using serial sampling: risk factors and protective factors","year":2021,"lang":"en","type":"letter","venue":"Canadian Journal of Ophthalmology","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carriage; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Sars virus; Virology; Medicine; Sampling (signal processing); Internal medicine; Outbreak; Computer science; Pathology; Telecommunications; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058077,0.0004416199,0.000422013,0.0005213614,0.0007247181,0.0007619227,0.0003458614,0.001763728,0.001519554],"category_scores_gemma":[0.003455456,0.000276713,0.0003713483,0.0008417921,0.0003523848,0.0006360288,0.0002547389,0.001663233,0.0002853441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082353,"about_ca_system_score_gemma":0.000774106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01813852,"about_ca_topic_score_gemma":0.01610405,"domain_scores_codex":[0.999352,0.0001876077,0.00007238525,0.00007796316,0.0001696094,0.0001403357],"domain_scores_gemma":[0.9989619,0.000352701,0.0002046014,0.00008888712,0.0002191225,0.0001727737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001930138,0.0001249976,0.9634411,0.00002099847,0.00002753768,0.02402894,0.0003940082,0.00005362683,0.0009981375,0.0001948262,0.004030382,0.006492345],"study_design_scores_gemma":[0.00004551656,0.000496456,0.9072974,0.00008876449,0.00006921324,0.08326926,0.002259423,0.001909101,0.0004492435,0.0007580706,0.003330797,0.00002667579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969724,0.0008585965,0.0006252657,0.01819192,0.0005158705,0.00005249258,0.0002824967,0.00002755977,0.009721763],"genre_scores_gemma":[0.9945952,0.0003728738,0.0003629023,0.002554384,0.0008389428,0.00001268534,0.00007107915,0.000005765029,0.001186171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01813852,"threshold_uncertainty_score":0.03606588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099771541812659,"score_gpt":0.3263723938639307,"score_spread":0.2163952396826648,"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."}}