{"id":"W2740873342","doi":"10.22215/etd/2009-08978","title":"Monitoring the propagation of lung sounds using electronic stethoscope arrays","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stethoscope; Imaging phantom; Acoustics; SIGNAL (programming language); Sound transmission class; Biomedical engineering; Transfer function; Computer science; Physics; Engineering; Optics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002243456,0.0001851113,0.000109894,0.0004830351,0.00009435071,0.0003925702,0.0001477236,0.0003029694,0.002499592],"category_scores_gemma":[0.0009069104,0.0001289742,0.00009643951,0.0002607619,0.00008752954,0.0004177387,0.0001832161,0.0002305493,0.001000114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007259953,"about_ca_system_score_gemma":0.0001203674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001742864,"about_ca_topic_score_gemma":0.0003966928,"domain_scores_codex":[0.9998598,0.00002770683,0.000007766079,0.00002681448,0.00006537994,0.00001247001],"domain_scores_gemma":[0.9995672,0.0002115266,0.00004749892,0.00002469413,0.0001212252,0.00002779424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003720668,0.000108968,0.008529777,0.0000848042,0.00002473806,0.00008394643,0.0001677588,0.0009102654,0.7913674,0.0003533069,0.0009021887,0.1970949],"study_design_scores_gemma":[0.00007793598,0.00236913,0.09242726,0.00006890524,0.00009651807,0.001035314,0.0003153947,0.03354172,0.8559415,0.0008868917,0.01318284,0.0000565198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7894239,0.001670346,0.1970562,0.000505511,0.0001877018,0.0001113752,0.0004643774,0.0008625754,0.009717884],"genre_scores_gemma":[0.8937024,0.002662981,0.08106027,0.0001243505,0.000169156,0.00006823065,0.0004154645,0.00009355982,0.0217035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002499592,"threshold_uncertainty_score":0.008361936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597148012813583,"score_gpt":0.3291433185906327,"score_spread":0.3131718384624969,"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."}}