{"id":"W4365504844","doi":"10.1016/j.clinbiomech.2023.105957","title":"Multi-day monitoring of foot progression angles during unsupervised, real-world walking in people with and without knee osteoarthritis","year":2023,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada; Arthritis Research Centre of Canada; Vancouver Coastal Health; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; State Key Laboratory of Mechanical System and Vibration; University of British Columbia; National Natural Science Foundation of China; Canada Research Chairs; Michael Smith Health Research BC; Arthritis Society","keywords":"Intraclass correlation; Osteoarthritis; Medicine; Gait; Treadmill; Physical medicine and rehabilitation; Physical therapy; Interquartile range; Foot (prosody); Toe; Internal medicine","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":[0.0001810975,0.0003953889,0.0005611398,0.0008251553,0.0003628877,0.0004735989,0.0002418694,0.0006578511,0.0007670428],"category_scores_gemma":[0.0009168542,0.0001827727,0.0003297507,0.0006738,0.0001449037,0.0003280171,0.0005089384,0.0003229136,0.0003244216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530257,"about_ca_system_score_gemma":0.0001404772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827317,"about_ca_topic_score_gemma":0.02437965,"domain_scores_codex":[0.9998053,0.00004467995,0.00002073966,0.00006273756,0.00002397899,0.00004268622],"domain_scores_gemma":[0.9996781,0.00004543719,0.00007785544,0.00002124181,0.0000739193,0.0001034948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003004479,0.000624446,0.9648041,0.0001729827,0.0003505438,0.0004328849,0.001116795,0.0006111587,0.006473262,0.00002980779,0.0007249299,0.02165465],"study_design_scores_gemma":[0.00001291853,0.0002790338,0.9979649,0.00000994392,0.0000343193,0.0001876386,0.0004714146,0.0007327748,0.0001294893,0.0000323983,0.000135332,0.000009721419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988917,0.00008449054,0.0001903247,0.00001723876,0.000007046141,0.00001539872,0.0005539018,0.000009377002,0.0002307068],"genre_scores_gemma":[0.9987872,0.00007112553,0.0003212847,0.00001553666,0.00001161194,0.00002377539,0.0005364544,0.000002527916,0.0002303369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00827317,"threshold_uncertainty_score":0.01645005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089753536879333,"score_gpt":0.3508291453554863,"score_spread":0.309931609986693,"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."}}