{"id":"W3215013426","doi":"10.1016/j.jbiomech.2021.110880","title":"Foot angular kinematics measured with inertial measurement units: A reliable criterion for real-time gait event detection","year":2021,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Gait; Kinematics; Orientation (vector space); Computer science; Effect of gait parameters on energetic cost; Modality (human–computer interaction); Gait analysis; Reliability (semiconductor); Artificial intelligence; Acceleration; Simulation; Computer vision; Physical medicine and rehabilitation; Mathematics; Medicine; Physics; Power (physics)","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":[0.001657343,0.000983552,0.0009546276,0.002628787,0.0002960706,0.001269392,0.0005494012,0.00131836,0.001446212],"category_scores_gemma":[0.008210463,0.0003312606,0.0003167276,0.001311773,0.0004161936,0.0009451393,0.0006531575,0.0005853073,0.00105361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550532,"about_ca_system_score_gemma":0.000439862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105246,"about_ca_topic_score_gemma":0.001977714,"domain_scores_codex":[0.9984296,0.0003827904,0.0002333993,0.0002709597,0.0005719307,0.0001112737],"domain_scores_gemma":[0.9939651,0.002267621,0.001264899,0.0003365676,0.001883093,0.0002828366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002673501,0.0005166464,0.6277276,0.0004755636,0.0002194768,0.0004073779,0.0003166593,0.00214503,0.09509093,0.000430612,0.002648982,0.2673476],"study_design_scores_gemma":[0.000101605,0.001580884,0.9190999,0.000171009,0.0002757285,0.002178456,0.0003627745,0.04627438,0.02705686,0.0006585485,0.002147625,0.0000923093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924534,0.002934808,0.1949697,0.0003728861,0.0003633798,0.0003850478,0.002230098,0.0009537294,0.005336989],"genre_scores_gemma":[0.9745731,0.0004721238,0.02324731,0.0001162172,0.0001288629,0.0001448563,0.0005347731,0.00005643656,0.0007262161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002628787,"threshold_uncertainty_score":0.008764923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804486001145498,"score_gpt":0.2683500483767128,"score_spread":0.2403051883652579,"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."}}