{"id":"W3068613985","doi":"10.1109/access.2020.3018028","title":"Novel Coronavirus Cough Database: NoCoCoDa","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Élisabeth Bruyère Hospital; Bruyère; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; AGE-WELL","keywords":"Interim; Pandemic; Dry cough; Annotation; Interim analysis; Set (abstract data type); Coronavirus","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001090518,0.0001864712,0.0003182628,0.00005566203,0.00007260207,0.00008874643,0.0004280997,0.00007847717,0.0004605128],"category_scores_gemma":[0.0003208468,0.0001774183,0.00007801765,0.0004168072,0.00007303247,0.0002812401,0.0001733072,0.0002749036,0.0003513129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009442969,"about_ca_system_score_gemma":0.0002399285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007581614,"about_ca_topic_score_gemma":0.00006683291,"domain_scores_codex":[0.998565,0.0000172706,0.0002614515,0.0004671121,0.0003953059,0.00029386],"domain_scores_gemma":[0.9987627,0.0002205404,0.00008942528,0.000501117,0.0001114281,0.0003148233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007343746,0.001120024,0.03516949,0.00116802,0.000240467,0.0008074378,0.0009078451,0.0005508119,0.3304047,0.0002334418,0.6021731,0.02649019],"study_design_scores_gemma":[0.003987582,0.0002049646,0.02330114,0.0002908791,0.0002264953,0.0000517688,0.00002675959,0.003239006,0.09205785,0.00001839215,0.8761884,0.0004067447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6808546,0.0008316481,0.02902817,0.2800829,0.002461168,0.00225102,0.0005965079,0.001150107,0.002743971],"genre_scores_gemma":[0.7892936,0.00007966089,0.001097549,0.2080804,0.001050858,0.00006187043,0.00008870925,0.00005983586,0.0001875931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740153,"threshold_uncertainty_score":0.723491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2019302992843564,"score_gpt":0.4255244126395165,"score_spread":0.22359411335516,"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."}}