{"id":"W2095672860","doi":"10.1109/iembs.1990.692216","title":"Muscle Contraction Interference In Acceleration Vibroarthrography","year":2005,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Arthritis Society","keywords":"Contraction (grammar); Interference (communication); Biomedical engineering; Computer science; Acceleration; Vibration; SIGNAL (programming language); Articular cartilage; Acoustics; Medicine; Physics; Internal medicine; Pathology; Telecommunications; Osteoarthritis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004530522,0.00007436195,0.00006421807,0.0001116654,0.00001579745,0.000037471,0.00005055643,0.00004117049,0.0001043436],"category_scores_gemma":[0.000007428807,0.000078779,0.00002240181,0.0001655969,0.000008447104,0.0004792777,0.000008034272,0.0001019605,0.00008432792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006493406,"about_ca_system_score_gemma":0.000002896668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002681699,"about_ca_topic_score_gemma":0.0003273271,"domain_scores_codex":[0.999583,0.000007361809,0.0001292954,0.00008927438,0.00005406186,0.0001370205],"domain_scores_gemma":[0.9998426,0.00002388134,0.000009226594,0.00007987162,0.00001446767,0.00002996807],"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":[0.000003214163,0.00002724139,0.01468067,0.00001113942,0.000007049936,0.000001878458,0.000175961,0.007983287,0.8201929,0.0002742079,0.0001976676,0.1564447],"study_design_scores_gemma":[0.0008235148,0.00005537916,0.1096717,0.0000772575,0.000005532579,0.000003929746,0.0002314154,0.01383719,0.8696063,0.0003667795,0.004889964,0.0004310606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429947,0.0001287066,0.04046087,0.0000450411,0.0003791827,0.0001231136,6.757252e-7,0.0003176932,0.01555006],"genre_scores_gemma":[0.9977261,0.00003674481,0.001977689,0.00001726378,0.000190092,0.00001847258,0.000001930234,0.00001189189,0.00001975226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1560137,"threshold_uncertainty_score":0.3212514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310655249646184,"score_gpt":0.2240268816763719,"score_spread":0.2109203291799101,"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."}}