{"id":"W2021721402","doi":"10.1016/j.gaitpost.2011.05.018","title":"Quantification of inertial sensor-based 3D joint angle measurement accuracy using an instrumented gimbal","year":2011,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Gimbal; Inertial measurement unit; Accelerometer; Rotation (mathematics); Gait; Observational error; Inertial frame of reference; Orientation (vector space); Control theory (sociology); Accuracy and precision; Computer science; Kinematics; Simulation; Acoustics; Mathematics; Physics; Computer vision; Artificial intelligence; Geometry; Statistics","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":[0.0002026112,0.000189002,0.0003047051,0.0001340712,0.00006563171,0.00001353588,0.00006845697,0.0001116888,0.0001578445],"category_scores_gemma":[0.0001214893,0.0001483028,0.0001137767,0.0001871966,0.00004591179,0.00009689627,0.00001863835,0.000109748,0.00001297778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744295,"about_ca_system_score_gemma":0.0001561901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008015851,"about_ca_topic_score_gemma":0.00006899356,"domain_scores_codex":[0.9985579,0.00007089598,0.0003721507,0.0002954167,0.00049005,0.0002135659],"domain_scores_gemma":[0.9987991,0.00001258147,0.0002126763,0.0004429082,0.0003919878,0.0001407076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008366085,0.006054078,0.2503449,0.0001407772,0.000330658,0.00004743363,0.00155183,0.00005458288,0.7337887,0.0001211671,0.000311458,0.006417841],"study_design_scores_gemma":[0.002262716,0.0009731338,0.6441777,0.0002668245,0.0003292673,0.00001673973,0.0003325781,0.0005753291,0.3507071,0.000007152095,0.0002122159,0.0001393024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980195,0.0002620845,0.0001436782,0.0003337895,0.0001906371,0.0006151192,0.00001968751,0.00005386362,0.0003616971],"genre_scores_gemma":[0.9952871,0.00001011662,0.004032135,0.0004390746,0.0001032405,0.00002741868,0.00007092229,0.00002441138,0.000005569373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3938327,"threshold_uncertainty_score":0.6047612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978841351322186,"score_gpt":0.3170482858568398,"score_spread":0.1191641507246212,"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."}}