{"id":"W4399837285","doi":"10.3390/s24217036","title":"MEMS and ECM Sensor Technologies for Cardiorespiratory Sound Monitoring—A Comprehensive Review","year":2024,"lang":"en","type":"preprint","venue":"Sensors","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sound (geography); Acoustics; Lung; Medicine; Environmental science; Computer science; Cardiology; Internal medicine; Physics","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":[0.0009398261,0.001071527,0.0009835252,0.002229416,0.0002774098,0.001068259,0.0009243328,0.001280808,0.003305878],"category_scores_gemma":[0.001297752,0.0004397384,0.0006471108,0.001945262,0.0003261117,0.001828987,0.000778669,0.001074801,0.002200824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762108,"about_ca_system_score_gemma":0.0007144542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000413041,"about_ca_topic_score_gemma":0.0004777689,"domain_scores_codex":[0.9993685,0.0000792268,0.00007818797,0.0001296645,0.0003035374,0.0000409588],"domain_scores_gemma":[0.9992815,0.0004101781,0.00006721281,0.00002868107,0.0001870096,0.00002547245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006199424,0.00008916244,0.000539589,0.01655313,0.00007948369,0.0001969682,0.00009608909,0.0007963415,0.01256971,0.004342593,0.01310195,0.951573],"study_design_scores_gemma":[0.000009373666,0.0003575101,0.002021291,0.00433222,0.0002179847,0.002136826,0.0001478062,0.001468595,0.01336051,0.003035707,0.9728357,0.00007646826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008382383,0.9920873,0.003600322,0.0003273643,0.000488895,0.00001923315,0.00006010281,0.00004435208,0.002534195],"genre_scores_gemma":[0.004088861,0.9883823,0.004470264,0.0003079669,0.0007075673,0.00003306336,0.0001230518,0.00001573587,0.00187126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003305878,"threshold_uncertainty_score":0.01105928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873533654948566,"score_gpt":0.3454358527590478,"score_spread":0.2967005162095621,"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."}}