{"id":"W2938255569","doi":"10.1016/j.jbiomech.2019.04.012","title":"Validity and reliability of a shoe-embedded sensor module for measuring foot progression angle during over-ground walking","year":2019,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Natural Science Foundation of China; Michael Smith Health Research BC","keywords":"Intraclass correlation; Reliability (semiconductor); Gait; Ground reaction force; Gait analysis; Wearable computer; Validity; Simulation; Computer science; Limits of agreement; Physical medicine and rehabilitation; Mathematics; Reproducibility; Statistics; Medicine; Embedded system; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000947693,0.0001925252,0.0004429604,0.0002242537,0.00005883762,0.00004511764,0.0001825464,0.0001752539,0.00002780936],"category_scores_gemma":[0.000150872,0.0001641423,0.0001852248,0.000207248,0.00001792376,0.0002506679,0.00009131791,0.0002012085,9.485955e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077455,"about_ca_system_score_gemma":0.00002575884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001964177,"about_ca_topic_score_gemma":0.000001119418,"domain_scores_codex":[0.9986056,0.00004095346,0.0005622772,0.0001929306,0.0003201289,0.000278129],"domain_scores_gemma":[0.9989697,0.0001467145,0.0003164643,0.0002583383,0.0002164635,0.00009229876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001512029,0.00008411166,0.0003212248,0.0009836262,0.00004332543,0.00001167186,0.0003229217,0.000154746,0.9839556,0.00003757069,0.00008000474,0.01385401],"study_design_scores_gemma":[0.002208644,0.000939076,0.001529159,0.0007810088,0.0001048574,0.0001958934,0.0003667677,0.1452208,0.8416302,0.005804152,0.0007129194,0.0005064645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903072,0.0003470638,0.008032396,0.00001768783,0.0008149031,0.0003001194,0.0001007325,0.00005225477,0.00002763556],"genre_scores_gemma":[0.9867615,0.0001853201,0.0128899,0.000004391619,0.000098496,0.000004305917,0.000004633258,0.00003442129,0.00001708565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1450661,"threshold_uncertainty_score":0.6693528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023244420314715,"score_gpt":0.2518200750319017,"score_spread":0.2285756547171867,"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."}}