{"id":"W4281779657","doi":"10.51731/cjht.2022.357","title":"Self-Collection of Nose and Throat Swab Samples for SARS-CoV-2 Antigen Testing","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Throat; Nose; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sampling (signal processing); Coronavirus disease 2019 (COVID-19); Dermatology; Surgery; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03766561,0.0005203181,0.0007640094,0.003532746,0.0009075769,0.003507061,0.002002174,0.001553336,0.01584779],"category_scores_gemma":[0.08411381,0.0003366216,0.0008602754,0.003169734,0.001793318,0.001659487,0.001343993,0.001050402,0.005853278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206144,"about_ca_system_score_gemma":0.006722639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962343,"about_ca_topic_score_gemma":0.03803974,"domain_scores_codex":[0.9533949,0.01465036,0.00760416,0.002327479,0.02098023,0.00104296],"domain_scores_gemma":[0.8356894,0.05558004,0.02734453,0.01342552,0.06571995,0.002240576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001325646,0.0005765963,0.188868,0.02213862,0.0005898665,0.002811746,0.003904731,0.0003120002,0.008643004,0.004877187,0.2248008,0.5411518],"study_design_scores_gemma":[0.0001645154,0.001261849,0.2353352,0.01043992,0.0004484947,0.003846636,0.005654572,0.0007290636,0.03062676,0.00197224,0.7093748,0.000145904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2535936,0.09893706,0.05645073,0.07934721,0.02053918,0.01210396,0.06903324,0.002346069,0.407649],"genre_scores_gemma":[0.6301597,0.07355406,0.1075666,0.04369511,0.003662677,0.003964207,0.03000929,0.000883546,0.1065049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03766561,"threshold_uncertainty_score":0.1991971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090609382913587,"score_gpt":0.3320339397950424,"score_spread":0.2229730015036837,"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."}}