{"id":"W3184774590","doi":"10.1109/memea52024.2021.9478714","title":"Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada","funders":"National Research Council","keywords":"Computer science; Artificial intelligence; Context (archaeology); Machine learning; Pattern recognition (psychology); Preprocessor; Support vector machine; Dynamic time warping","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":[0.0000435344,0.0001109096,0.000247243,0.0001519566,0.0000551513,0.00001357323,0.00007417349,0.00007292939,0.0001480514],"category_scores_gemma":[0.0007703036,0.000114494,0.00006992178,0.001002952,0.00002905945,0.00009970676,0.00006097934,0.0001318154,0.000002456546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264121,"about_ca_system_score_gemma":0.000006012385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801832,"about_ca_topic_score_gemma":0.00006441477,"domain_scores_codex":[0.9992879,0.00001936791,0.0002111951,0.0001624136,0.0001723121,0.0001468371],"domain_scores_gemma":[0.9995488,0.0001166603,0.0000549809,0.0001422167,0.00008722347,0.00005014856],"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":[0.000005183471,0.0000136217,0.01814842,0.00003586335,0.000537473,0.00002360282,0.0001541475,0.09539618,0.8850461,0.00006564407,0.000002116009,0.0005716024],"study_design_scores_gemma":[0.0002139144,0.00001418372,0.001901359,0.00001325845,0.000339718,0.00001014269,0.0003111093,0.07444436,0.9221587,0.0001169723,0.0002870244,0.0001893036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453206,0.0001160296,0.1531962,0.00006763085,0.00002436689,0.00005297642,0.0000403503,0.000521295,0.0006604881],"genre_scores_gemma":[0.9981782,0.00006727054,0.001260715,0.00006839578,0.000006842011,0.00000473867,0.0003116711,0.00001573285,0.0000863931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1528576,"threshold_uncertainty_score":0.4668931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06205616554040685,"score_gpt":0.3000413589199295,"score_spread":0.2379851933795226,"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."}}