{"id":"W4255815661","doi":"10.1109/iembs.2006.4398482","title":"Apnea Detection by Acoustical Means","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Apnea; Acoustics; Medicine; Physics; Internal 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":[0.0004282689,0.0004393562,0.0004596243,0.001166875,0.0002261319,0.0004633423,0.0005053277,0.0006528554,0.001434607],"category_scores_gemma":[0.001368382,0.0002347311,0.0002800513,0.000326916,0.0003037181,0.0007108932,0.0004709649,0.0004484197,0.0006496332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013398,"about_ca_system_score_gemma":0.0002078922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002230777,"about_ca_topic_score_gemma":0.0005622791,"domain_scores_codex":[0.9995124,0.0001095875,0.00002639671,0.0000930584,0.0002310112,0.00002741619],"domain_scores_gemma":[0.9993886,0.0003250974,0.00006856902,0.00005164269,0.0001329912,0.0000331028],"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":[0.0004853779,0.0001218482,0.006558832,0.0004757679,0.00007520523,0.0002477581,0.0001886076,0.001183261,0.4545049,0.001105391,0.0009516624,0.5341014],"study_design_scores_gemma":[0.0002439842,0.002776793,0.1013766,0.0002662296,0.0005222544,0.01035629,0.0004599768,0.2371216,0.5985653,0.005058382,0.04284341,0.0004091426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260197,0.003129662,0.8650931,0.0002043318,0.0003939725,0.0001644218,0.0001916622,0.001287329,0.003515728],"genre_scores_gemma":[0.5549965,0.00201939,0.4361801,0.0001970788,0.0005152075,0.000213183,0.0002330313,0.00009443256,0.005550999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001434607,"threshold_uncertainty_score":0.004799187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087864485684661,"score_gpt":0.2436494308023344,"score_spread":0.2327707859454878,"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."}}