{"id":"W2608543363","doi":"10.1007/s13534-017-0031-6","title":"Non-magnetic compliant finger sensor for continuous fine motor movement detection","year":2017,"lang":"en","type":"article","venue":"Biomedical Engineering Letters","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Health; Surrey Memorial Hospital; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Down Syndrome Research Foundation","keywords":"Computer science; Movement (music); Channel (broadcasting); Artificial intelligence; Finger tapping; SIGNAL (programming language); Computer vision; Pattern recognition (psychology); Speech recognition; Acoustics; Physics; Telecommunications","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":[0.0003206255,0.000368401,0.0003240074,0.0002204863,0.0002095084,0.0004629448,0.0007075989,0.0007014053,0.002078954],"category_scores_gemma":[0.001032211,0.0001692538,0.0001783823,0.0002765866,0.0002073698,0.0006188004,0.0004720438,0.0002762506,0.0005669548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391662,"about_ca_system_score_gemma":0.0002008927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884457,"about_ca_topic_score_gemma":0.0007612616,"domain_scores_codex":[0.9995326,0.00008100004,0.00003046228,0.0001013025,0.0002291199,0.00002555297],"domain_scores_gemma":[0.9995155,0.0001940494,0.00006993424,0.00007530928,0.0001117351,0.00003337641],"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":[0.0003834481,0.00008958011,0.001353738,0.0002525248,0.00002400384,0.0001974564,0.00006018106,0.0006404127,0.8987706,0.0007411944,0.001245315,0.09624153],"study_design_scores_gemma":[0.000091965,0.001588915,0.0309736,0.00008468577,0.0001467462,0.003778481,0.0001030705,0.09420805,0.8527173,0.001906931,0.01427673,0.0001234971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3000738,0.002199804,0.6836826,0.0005727106,0.0006186316,0.0001763836,0.0005474368,0.001321461,0.01080709],"genre_scores_gemma":[0.9289308,0.0003407606,0.0643981,0.000386454,0.0001119387,0.00006186141,0.0001467525,0.0000463462,0.005577063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002078954,"threshold_uncertainty_score":0.006954789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462370907311568,"score_gpt":0.2336755904874553,"score_spread":0.2190518814143396,"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."}}