{"id":"W2953530769","doi":"","title":"Wireless Inertial Measurement System Provides Accurate Dynamic Angle Change and Angular Data for Body Mount Applications","year":2010,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Inertial measurement unit; Computer science; Wireless; Inertial frame of reference; Computer vision; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003931988,0.0002498034,0.0002487718,0.0000867924,0.0001742296,0.0001788817,0.0004976358,0.0001589942,0.000001794702],"category_scores_gemma":[0.00003391074,0.000246216,0.00003008844,0.0001810796,0.00006769695,0.0006229355,0.0001766508,0.0002293157,0.000005579913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495023,"about_ca_system_score_gemma":0.00002030295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003498095,"about_ca_topic_score_gemma":0.0001397593,"domain_scores_codex":[0.9986499,0.000002676685,0.0002708672,0.0004493279,0.0002448774,0.0003823709],"domain_scores_gemma":[0.9991477,0.00002066896,0.0000743216,0.0003719885,0.0002564872,0.0001288494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006447722,0.0001233232,0.001626413,0.006531151,0.0002589512,0.000003479303,0.001139968,0.00009566401,0.9235771,0.01731514,0.004724495,0.04453988],"study_design_scores_gemma":[0.0005874237,0.00004478768,0.002359923,0.0002305261,0.000115398,0.00003060105,0.0005206171,0.9661336,0.005341963,0.00006797635,0.02405246,0.0005147316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802784,0.00120781,0.01233548,0.0001805517,0.0005447663,0.00351821,0.0002295373,0.001266086,0.0004391749],"genre_scores_gemma":[0.9956176,0.00003901374,0.001277955,0.00001926785,0.0007025409,0.002136967,0.0001119749,0.00008678759,0.000007850985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9660379,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03487483139662702,"score_gpt":0.244186309374566,"score_spread":0.209311477977939,"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."}}