{"id":"W2055312334","doi":"10.1016/j.jbiomech.2008.02.030","title":"A simple and rapid method for electromagnetic field distortion correction when using two Fastrak sensors for biomechanical studies","year":2008,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Orientation (vector space); Position (finance); Reduction (mathematics); Distortion (music); Polynomial; Electromagnetic field; Calibration; Mathematics; Rotation (mathematics); Deformation (meteorology); Acoustics; Physics; Computer science; Geometry; Mathematical analysis; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001285232,0.000134455,0.0003756548,0.0002449411,0.000845263,0.000004814819,0.00007052317,0.0001548895,0.00002124312],"category_scores_gemma":[0.0005469148,0.0001123066,0.0001149885,0.0001695791,0.00001766305,0.000158909,0.0000238469,0.0002870601,0.000001233919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157371,"about_ca_system_score_gemma":0.0003347568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003764452,"about_ca_topic_score_gemma":0.00003990588,"domain_scores_codex":[0.9983043,0.000169243,0.0007980513,0.0001563923,0.0001971163,0.0003748903],"domain_scores_gemma":[0.9970135,0.00139928,0.0007101635,0.00009032185,0.000635449,0.0001512989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01127672,0.000435681,0.001151604,0.003459018,0.0005126378,0.00001662288,0.008778024,0.00007778388,0.2489912,0.001518467,0.05230495,0.6714773],"study_design_scores_gemma":[0.009995762,0.01532251,0.0003441011,0.0006573573,0.0004311478,0.0006882331,0.0038041,0.8392111,0.03509466,0.03476844,0.05904138,0.0006411999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4814726,0.0009381492,0.5138477,0.0006047585,0.002349759,0.0007315669,0.00003431939,0.00001564382,0.000005558526],"genre_scores_gemma":[0.8108371,0.001813607,0.1835857,0.001368745,0.001917106,0.00008286685,0.00002356084,0.00004564374,0.0003256419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8391333,"threshold_uncertainty_score":0.6501164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562910928484239,"score_gpt":0.4958626172719802,"score_spread":0.3395715244235563,"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."}}