{"id":"W2163844873","doi":"10.1109/wescan.1995.493973","title":"A comparison of neural network models for wheeze detection","year":2002,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial neural network; Computer science; Wheeze; Speech recognition; Artificial intelligence; Pattern recognition (psychology); SIGNAL (programming language); Fast Fourier transform; Process (computing); Fourier transform; Algorithm; Mathematics; Medicine","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":[0.003172965,0.001237964,0.0008739441,0.001798041,0.0003721634,0.001078731,0.0009821194,0.001363692,0.001377245],"category_scores_gemma":[0.01038432,0.000390135,0.0006827007,0.00091689,0.0002796071,0.001311419,0.0004953503,0.0007699402,0.0004570579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639182,"about_ca_system_score_gemma":0.000717286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140531,"about_ca_topic_score_gemma":0.01347762,"domain_scores_codex":[0.999248,0.0002976303,0.0000626215,0.0001289358,0.0001820907,0.00008065997],"domain_scores_gemma":[0.9946671,0.00390016,0.0001802136,0.0001646149,0.0009879126,0.00009997757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009879251,0.0002189105,0.004844687,0.0001826092,0.0002695607,0.0000489009,0.00005398602,0.8684164,0.0009573642,0.001290704,0.00126715,0.1214619],"study_design_scores_gemma":[0.00001104144,0.00007145919,0.0008034644,0.0000142149,0.00002147432,0.00000840011,0.00001195529,0.9981599,0.0002877801,0.0004508497,0.000150577,0.000008885418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.569352,0.009358208,0.4024035,0.002018494,0.0006941072,0.0002657935,0.0009408858,0.002535505,0.01243151],"genre_scores_gemma":[0.9505704,0.001899987,0.04295347,0.0001348184,0.00009624597,0.0001740803,0.0006345695,0.00009608346,0.003440384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02140531,"threshold_uncertainty_score":0.04256141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318425768704491,"score_gpt":0.3304401824089654,"score_spread":0.2572559247219205,"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."}}