{"id":"W2160572911","doi":"10.1109/iembs.2009.5335292","title":"Formant analysis of breath and snore sounds","year":2009,"lang":"en","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Formant; Speech recognition; Acoustics; Computer science; Audiology; Physics; 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":[0.0005993696,0.0004843091,0.000477367,0.002764932,0.0004007727,0.0005365824,0.0002591565,0.0004183649,0.003341843],"category_scores_gemma":[0.00272701,0.0001368137,0.0004010243,0.0008654531,0.0003523988,0.0005378984,0.0002955688,0.0002461934,0.0008978153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212468,"about_ca_system_score_gemma":0.0002059408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341557,"about_ca_topic_score_gemma":0.001183762,"domain_scores_codex":[0.9995953,0.00005775499,0.00004141735,0.00008444837,0.0001706067,0.00005035064],"domain_scores_gemma":[0.9990405,0.0003615368,0.0001028705,0.00007356457,0.0003744806,0.00004699326],"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":[0.00140113,0.0001239869,0.03597097,0.0004984514,0.0001250088,0.0007475627,0.002152677,0.003644669,0.404375,0.00189884,0.001423619,0.5476382],"study_design_scores_gemma":[0.00005288226,0.0009206966,0.771701,0.0001588961,0.0001980944,0.004096522,0.001425278,0.05768708,0.1418637,0.004355069,0.01729891,0.0002418739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8250797,0.001375137,0.1635284,0.0000634737,0.000124277,0.000244958,0.001242104,0.001162714,0.007179236],"genre_scores_gemma":[0.9193333,0.0003829108,0.07626098,0.00002109678,0.00003760126,0.0001284899,0.001006382,0.0001396739,0.002689583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003341843,"threshold_uncertainty_score":0.01117963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008794129413895645,"score_gpt":0.2780687058243632,"score_spread":0.2692745764104675,"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."}}