{"id":"W4394863618","doi":"10.2139/ssrn.4793567","title":"Sensitivity Analysis of an Inertial Calibration Method: Error Propagation on 3d Knee Kinematics","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Sensitivity (control systems); Computer science; Calibration; Download; Kinematics; Inertial measurement unit; World Wide Web; Artificial intelligence; Engineering; Statistics; Physics; Mathematics; Electronic 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":[0.004052715,0.001112682,0.0008032871,0.001178384,0.0003915433,0.001217529,0.0008467181,0.00165333,0.001881987],"category_scores_gemma":[0.02829042,0.0007043952,0.001185555,0.0009225752,0.0009676205,0.001155211,0.001621707,0.001121416,0.0002334488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479852,"about_ca_system_score_gemma":0.0008445591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005985605,"about_ca_topic_score_gemma":0.00235482,"domain_scores_codex":[0.9973857,0.001125673,0.0001012595,0.0004297508,0.0008174291,0.0001401515],"domain_scores_gemma":[0.9828947,0.01447186,0.0007573207,0.0008250578,0.000951182,0.00009991442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003470879,0.00009074108,0.002897873,0.0004079062,0.0002342406,0.0002649135,0.0001544752,0.9195873,0.02331564,0.007816792,0.0005928884,0.04429017],"study_design_scores_gemma":[0.000006755489,0.00005058496,0.002621647,0.00003493941,0.0000416409,0.00009140982,0.00001513388,0.9885307,0.006489511,0.001828019,0.000264678,0.00002499363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07190595,0.0006170177,0.9242008,0.0002904187,0.00008561327,0.0000771514,0.0001466096,0.0003169666,0.002359438],"genre_scores_gemma":[0.9475262,0.0004492827,0.04956403,0.0001466048,0.00005519412,0.00009016729,0.0001846615,0.0002094302,0.001774438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005985605,"threshold_uncertainty_score":0.02143306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830217527488604,"score_gpt":0.3282784018878964,"score_spread":0.3099762266130103,"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."}}