{"id":"W4380083527","doi":"10.3390/app13126976","title":"Automatic COVID-19 Detection from Cough Sounds Using Multi-Headed Convolutional Neural Networks","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Respiratory and Cough-Related Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Speech recognition; Pattern recognition (psychology); Machine learning; Disease; Medicine; Infectious disease (medical specialty); Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545109,0.001562104,0.0008322595,0.001363394,0.0004758899,0.000666386,0.001147087,0.00109356,0.001469923],"category_scores_gemma":[0.001191107,0.0003895028,0.0008485556,0.0005355446,0.0002255744,0.0008315936,0.001089996,0.001158556,0.001141013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008388682,"about_ca_system_score_gemma":0.0008502184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162178,"about_ca_topic_score_gemma":0.02378424,"domain_scores_codex":[0.9995702,0.00004047025,0.00002745357,0.0001462336,0.00009443111,0.0001212758],"domain_scores_gemma":[0.9996839,0.0000870342,0.00003490545,0.00003857676,0.0001144662,0.00004109389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001469601,0.0009228406,0.02240352,0.0003482578,0.0003079214,0.0008388576,0.000109067,0.1041926,0.07757051,0.001037084,0.0300102,0.7607895],"study_design_scores_gemma":[0.0000219549,0.00009764377,0.005425083,0.00002613258,0.00003567845,0.0001061436,0.00003381727,0.9801436,0.01171928,0.0004873573,0.00188277,0.0000205559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5798534,0.006010179,0.374798,0.0009771979,0.0009460773,0.0004125129,0.007673118,0.01866898,0.01066059],"genre_scores_gemma":[0.8722866,0.001088952,0.0947699,0.0004549901,0.0001669214,0.0001806563,0.02009949,0.0002126849,0.01073991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0162178,"threshold_uncertainty_score":0.03224683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.164164413726917,"score_gpt":0.3916346891298704,"score_spread":0.2274702754029534,"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."}}