{"id":"W2043668245","doi":"10.1109/ultsym.2013.0291","title":"Development of wearable and flexible ultrasonic sensor for skeletal muscle monitoring","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Saudi Arabian Cultural Bureau","keywords":"Ultrasonic sensor; Wearable computer; Materials science; Biomedical engineering; Flexibility (engineering); Acoustics; Computer science; Embedded system; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003190512,0.0004127295,0.0004801523,0.0003340222,0.0001264811,0.0002569609,0.0006497728,0.0007450993,0.0008739104],"category_scores_gemma":[0.0004288923,0.0003136314,0.0002838782,0.0003292239,0.0001776825,0.0005396424,0.0003952137,0.0004076549,0.0004295044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349545,"about_ca_system_score_gemma":0.000221788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001748005,"about_ca_topic_score_gemma":0.0003167267,"domain_scores_codex":[0.999688,0.00003288808,0.00002054228,0.00008820381,0.0001471895,0.00002319911],"domain_scores_gemma":[0.9998341,0.00003050225,0.00003344877,0.00001393653,0.0000622538,0.00002579356],"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":[0.0000435111,0.0000281659,0.0003207783,0.0001222068,0.00001100469,0.0001184775,0.00002746297,0.0002779914,0.9760337,0.0001735131,0.0002357169,0.02260735],"study_design_scores_gemma":[0.00003222199,0.001269684,0.004493569,0.00003843971,0.00005177717,0.001304928,0.00004742549,0.01617893,0.9675004,0.0002012306,0.008825798,0.00005566589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5124037,0.00902359,0.4694876,0.0005798997,0.0006212018,0.000362884,0.000446823,0.001239241,0.005835056],"genre_scores_gemma":[0.6853229,0.003123567,0.3024104,0.0003911988,0.0001061849,0.0002860137,0.0002972311,0.0000539994,0.008008527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008739104,"threshold_uncertainty_score":0.002923548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194828663489792,"score_gpt":0.233257355587333,"score_spread":0.2137744892383538,"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."}}