{"id":"W4380091047","doi":"10.1016/j.gaitpost.2023.06.006","title":"Predicting vertical and shear ground reaction forces during walking and jogging using wearable plantar pressure insoles","year":2023,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Mitacs","keywords":"Ground reaction force; Plantar pressure; Wearable computer; Geology; Shear force; Physical medicine and rehabilitation; Environmental science; Computer science; Structural engineering; Engineering; Physics; Medicine; Pressure sensor; Mechanical engineering; Classical mechanics; Kinematics","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":[0.000133641,0.0005446199,0.000401912,0.0007172819,0.0001403009,0.0004129855,0.0001578173,0.0004716981,0.0007218592],"category_scores_gemma":[0.0005258718,0.0001815969,0.0002710145,0.000459572,0.00008816535,0.0002115027,0.0001932974,0.0001725931,0.0003352034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304907,"about_ca_system_score_gemma":0.0001447612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219378,"about_ca_topic_score_gemma":0.004661553,"domain_scores_codex":[0.9999093,0.00001470269,0.000008540445,0.00002427912,0.00002415982,0.00001899048],"domain_scores_gemma":[0.99979,0.00007525901,0.00003269017,0.00001159541,0.00005306695,0.00003746753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003970952,0.001336382,0.5155141,0.0005113791,0.0005745802,0.001315145,0.0004607113,0.0352161,0.1979512,0.0001167468,0.001334008,0.2416987],"study_design_scores_gemma":[0.00005443956,0.001240556,0.8151611,0.0000370235,0.0001795039,0.0009249625,0.0004072122,0.1710452,0.01043668,0.0001638786,0.0003144711,0.0000348266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916977,0.00009543831,0.007393076,0.00001233594,0.00002073729,0.00001597924,0.0003642041,0.0000764353,0.0003241508],"genre_scores_gemma":[0.9974241,0.00008696334,0.0018029,0.00001052897,0.0000117553,0.000013135,0.0002469995,0.000006526395,0.0003971182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219378,"threshold_uncertainty_score":0.004412949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240775051494936,"score_gpt":0.21305602688227,"score_spread":0.2006482763673207,"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."}}