{"id":"W2028611183","doi":"10.1109/iembs.2011.6091488","title":"Investigating the statistical properties of the swallowing sounds","year":2011,"lang":"en","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Swallowing; Linearity; Nonlinear system; Computer science; Speech recognition; Statistical analysis; Sound (geography); Acoustics; Mathematics; Statistics; Medicine; Engineering; Physics; Electronic engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001427758,0.00004889797,0.00008336371,0.000009553818,0.00007282143,0.000004899998,0.00008994083,0.00002211284,0.0001833858],"category_scores_gemma":[0.00031303,0.00001849294,0.00003839902,0.00007137173,0.0002208328,0.00002902679,0.0000392869,0.0001032329,0.00001257329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000556629,"about_ca_system_score_gemma":0.00006317497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003473701,"about_ca_topic_score_gemma":0.00006245895,"domain_scores_codex":[0.9995251,0.00002749918,0.0001261774,0.00006408292,0.0001562658,0.000100849],"domain_scores_gemma":[0.9997011,0.00002667143,0.00002480751,0.0001848796,0.00003369945,0.00002887242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007535183,0.0003391653,0.7103457,0.0004539299,0.0002989666,0.000006823681,0.04538823,0.000003566449,0.1306588,0.09109918,0.009508732,0.01182149],"study_design_scores_gemma":[0.002064582,0.000489059,0.6444094,0.0007182879,0.0004918714,0.00005643427,0.0433884,0.00190116,0.2867818,0.01550219,0.003839023,0.000357911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422053,0.00008020593,0.0002506925,0.001786261,0.0000504419,0.000159617,4.763295e-7,0.00002009894,0.05544688],"genre_scores_gemma":[0.9953265,0.000002695655,0.0014692,0.001478791,0.00001938475,0.000004986708,3.27666e-7,0.000006207188,0.0016919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.156123,"threshold_uncertainty_score":0.2007945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07787064088621763,"score_gpt":0.2575989545216888,"score_spread":0.1797283136354711,"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."}}