{"id":"W3216836636","doi":"10.1183/13993003.congress-2021.pa3221","title":"Validation of manual and automated wheezing detection from audio recordings","year":2021,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Wheeze; Medicine; Auscultation; Automated method; Stethoscope; Respiratory sounds; Asthma; Speech recognition; Artificial intelligence; Audiology; Computer science; Internal medicine; Radiology","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":[0.01430956,0.0007539205,0.000403391,0.002001688,0.000444556,0.0007426377,0.0009571448,0.001062103,0.001616583],"category_scores_gemma":[0.02993491,0.0003509791,0.0005170691,0.0005396035,0.0007508619,0.0005252173,0.001108064,0.0002745112,0.001379569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003756661,"about_ca_system_score_gemma":0.0004580653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641763,"about_ca_topic_score_gemma":0.003854075,"domain_scores_codex":[0.9866399,0.005320117,0.001966051,0.002310701,0.003326141,0.0004369334],"domain_scores_gemma":[0.9724305,0.01272172,0.001898948,0.002396414,0.01007443,0.0004779491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004741145,0.0009945546,0.6668973,0.0009737424,0.0006078897,0.0004985903,0.002172526,0.00368007,0.1771977,0.0003155318,0.001765069,0.1401559],"study_design_scores_gemma":[0.0003288354,0.003938369,0.8506927,0.000248046,0.0003181925,0.001835353,0.000866559,0.03009711,0.1067855,0.0001846011,0.00460052,0.0001042042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597337,0.0004872753,0.03503994,0.00007961768,0.0001335949,0.0008198278,0.00102059,0.0004023709,0.002283049],"genre_scores_gemma":[0.9493149,0.0001826609,0.04665535,0.000112806,0.00005864001,0.0005276504,0.002182304,0.00005767111,0.000908057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430956,"threshold_uncertainty_score":0.07567704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076225311703999,"score_gpt":0.2749946826303525,"score_spread":0.2642324295133125,"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."}}