{"id":"W4306938352","doi":"10.3138/jammi-2022-0017","title":"In search of COVID-19: The ability of biodetection canines to detect COVID-19 odours from clinical samples","year":2022,"lang":"en","type":"article","venue":"Journal of the Association of Medical Microbiology and Infectious Disease Canada","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Health Canada","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Predictive value; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); SWEAT; Veterinary medicine; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001852605,0.0004242593,0.0004102026,0.0002455108,0.0002459745,0.0005155659,0.0003852232,0.0006091049,0.002120453],"category_scores_gemma":[0.00159129,0.0002420576,0.0002441946,0.0001324152,0.0003992887,0.000472475,0.0006551819,0.0005441355,0.0005659607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003137441,"about_ca_system_score_gemma":0.0002776225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007277466,"about_ca_topic_score_gemma":0.001395797,"domain_scores_codex":[0.9993825,0.0001301877,0.00003092165,0.0002116165,0.0001289548,0.0001157584],"domain_scores_gemma":[0.9990966,0.0001999414,0.0002134166,0.0001088205,0.0002085848,0.0001726216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004006629,0.001505032,0.2908261,0.0004669643,0.0001479382,0.0003004182,0.001186208,0.0008511788,0.6375282,0.0001926331,0.001118253,0.06187033],"study_design_scores_gemma":[0.0001482964,0.02585136,0.769151,0.0001074186,0.0002233027,0.002492278,0.001085313,0.006716056,0.1865536,0.0002782876,0.007331824,0.00006137646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997386,0.0001869392,0.001386505,0.0001095169,0.00002126297,0.00008380356,0.00008768203,0.00003340534,0.000704818],"genre_scores_gemma":[0.9940936,0.0001604665,0.004079765,0.0002023326,0.00001666574,0.00006245672,0.0004123441,0.0000110224,0.0009613175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120453,"threshold_uncertainty_score":0.009797633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456143216360628,"score_gpt":0.2834307131027505,"score_spread":0.2688692809391443,"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."}}