{"id":"W4404577495","doi":"10.23919/eusipco63174.2024.10714938","title":"Accessible Obstructive Sleep Apnea Screening Using Classical Acoustic Speech Representations","year":2024,"lang":"en","type":"article","venue":"","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia; Toronto Western Hospital; University of Toronto; Toronto General Hospital; University Health Network; Toronto Rehabilitation Institute","funders":"","keywords":"Obstructive sleep apnea; Computer science; Speech recognition; Sleep apnea; Sleep (system call); Medicine; Cardiology","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":[0.0003364158,0.001017921,0.0004529104,0.0006386708,0.0001497366,0.0005221521,0.0004319058,0.0005734669,0.002093406],"category_scores_gemma":[0.001215115,0.0001507467,0.0005967404,0.0002497516,0.0002301545,0.0005497508,0.000714138,0.0005705539,0.001491436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875353,"about_ca_system_score_gemma":0.0004057485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666569,"about_ca_topic_score_gemma":0.003087127,"domain_scores_codex":[0.9997776,0.00004427567,0.00001097123,0.00007156052,0.00006043035,0.00003518591],"domain_scores_gemma":[0.9997715,0.0001035721,0.0000222685,0.00002531866,0.00005623011,0.00002108758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007513069,0.000667649,0.01824784,0.000195129,0.0002484939,0.0007484878,0.0002527039,0.09437062,0.06715038,0.002010955,0.005058345,0.810298],"study_design_scores_gemma":[0.00002274292,0.0003098563,0.01854714,0.00006126581,0.00008516662,0.0003367241,0.0001134066,0.9603902,0.01418605,0.003235996,0.002668167,0.00004325367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3005977,0.001062352,0.684734,0.0003836219,0.0002535475,0.0001955138,0.001601524,0.004258573,0.006913144],"genre_scores_gemma":[0.9340124,0.0004382257,0.05825235,0.0001382417,0.0001004435,0.0001171884,0.002073536,0.00006909875,0.004798588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002666569,"threshold_uncertainty_score":0.007003129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145901980397517,"score_gpt":0.3845910095906701,"score_spread":0.3231319897866949,"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."}}