{"id":"W7064821848","doi":"","title":"Classification des sons respiratoires en vue d'une détection automatique des sibilants","year":2006,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trispectrum; Electrodiagnosis; Cepstrum","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008544921,0.0007196252,0.0006066912,0.001932032,0.000368087,0.001376885,0.000648887,0.0009257081,0.002875035],"category_scores_gemma":[0.002331914,0.0002172804,0.001046377,0.0006393483,0.0003099201,0.0005060457,0.0004508983,0.0004747454,0.001539145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006002655,"about_ca_system_score_gemma":0.0006453186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007143022,"about_ca_topic_score_gemma":0.007045604,"domain_scores_codex":[0.9990238,0.0001297523,0.00009023774,0.0002567645,0.0003604123,0.0001390217],"domain_scores_gemma":[0.9980772,0.000571313,0.0003783054,0.0001752243,0.0006028257,0.0001950557],"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":[0.002035626,0.0004550195,0.4143961,0.0008570246,0.0003197599,0.003514045,0.001041449,0.006620539,0.1057998,0.0008933276,0.00619685,0.4578706],"study_design_scores_gemma":[0.00009380707,0.001677658,0.738079,0.0003944084,0.0005251988,0.009763971,0.002302052,0.1348042,0.08030779,0.001057796,0.03084094,0.0001533149],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575589,0.004014088,0.03035205,0.0004140737,0.0002001953,0.0002070997,0.001286529,0.0007690866,0.005197937],"genre_scores_gemma":[0.9481413,0.00203032,0.03299784,0.0001842087,0.0001633966,0.0001384839,0.00387744,0.0001281282,0.01233879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007143022,"threshold_uncertainty_score":0.01420289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005689715201896257,"score_gpt":0.1618866339473142,"score_spread":0.1561969187454179,"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."}}