{"id":"W4311049527","doi":"10.3389/fmed.2022.1006315","title":"Use of trained scent dogs for detection of COVID-19 and evidence of cost-saving","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; University of British Columbia","funders":"Rwanda Biomedical Centre","keywords":"Coronavirus disease 2019 (COVID-19); Saliva; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Internal medicine; Virology; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317248,0.00006514339,0.0002809132,0.0001553495,0.00001523403,4.488953e-7,0.00008997885,0.00003702225,0.000004787731],"category_scores_gemma":[0.001732681,0.00006280717,0.00001841399,0.0002288293,0.0001740392,0.00005046975,0.00003168188,0.0001135434,5.06938e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544057,"about_ca_system_score_gemma":0.000004863233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004222712,"about_ca_topic_score_gemma":0.000006777099,"domain_scores_codex":[0.9993965,0.00001203402,0.000263964,0.0000962823,0.0001315241,0.00009970477],"domain_scores_gemma":[0.9995158,0.0002296885,0.00008014437,0.0001236096,0.00002149535,0.00002920203],"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":[0.0001446952,0.00001072772,0.003102805,0.0009239894,0.00001913075,0.000001286365,0.0005120657,0.02363145,0.9495149,0.00002025256,0.0007083628,0.02141038],"study_design_scores_gemma":[0.001825824,0.0005713172,0.001071948,0.0004749486,0.00005942672,0.000006264901,0.003844212,0.05660915,0.9287499,0.002459097,0.004161769,0.0001661987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984621,0.00582112,0.2946092,0.0003110619,0.000281686,0.0004197744,0.00001356415,0.00007711187,0.000004298031],"genre_scores_gemma":[0.9867095,0.0004375175,0.01276739,0.00002169617,0.000008715045,0.00003790078,0.000001642382,0.000009484496,0.00000619722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2882473,"threshold_uncertainty_score":0.2561202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688085161287219,"score_gpt":0.2905512139169004,"score_spread":0.2436703623040282,"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."}}