{"id":"W4233780434","doi":"10.1121/1.1413995","title":"Auditory display of knee-joint vibration signals","year":2001,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sonification; Computer science; Acoustics; Knee Joint; Sensitivity (control systems); Vibration; Rubbing; Joint (building); Artificial intelligence; Speech recognition; Human–computer interaction; Medicine; Materials science; Engineering; Structural engineering; Physics; Electronic engineering; Surgery","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":[0.0005304357,0.0002652687,0.0002619095,0.0004501353,0.00009778923,0.0002917731,0.0002214121,0.0002794386,0.001395251],"category_scores_gemma":[0.002806134,0.00008296673,0.0001204611,0.0001434764,0.0001941084,0.0002010532,0.0002950837,0.0001584729,0.0004220238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005250821,"about_ca_system_score_gemma":0.0000731389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874001,"about_ca_topic_score_gemma":0.0002748789,"domain_scores_codex":[0.9996829,0.0001194465,0.00001638198,0.00005876697,0.00009835235,0.00002427247],"domain_scores_gemma":[0.9990267,0.0005882377,0.00006269433,0.00007579549,0.0001891249,0.00005760885],"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":[0.0008791508,0.00005735033,0.01335105,0.0002641325,0.00002751859,0.0003207916,0.0002201278,0.0005959386,0.8408789,0.000113677,0.0001863707,0.143105],"study_design_scores_gemma":[0.0001428936,0.003084711,0.3360247,0.00008093247,0.0001512453,0.008543316,0.0004237005,0.02431991,0.6222358,0.0004237042,0.004466695,0.0001024319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267009,0.0007651949,0.06954659,0.00007665998,0.00004414371,0.00006897132,0.0001068685,0.0003665491,0.0023241],"genre_scores_gemma":[0.972961,0.0002739463,0.02558789,0.0000484884,0.00004526276,0.00001974836,0.00007809167,0.00001875416,0.0009668813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001395251,"threshold_uncertainty_score":0.00466758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364832312410599,"score_gpt":0.2661889057976035,"score_spread":0.2525405826734975,"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."}}