{"id":"W4387670046","doi":"10.3990/1.9789036558853","title":"Toward a Wearable Gait Lab for Quantitative Assessment of Musculoskeletal Function","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Wearable computer; Physical medicine and rehabilitation; Gait; Gait analysis; Function (biology); Medicine; Physical therapy; Computer science; Human–computer interaction; Biology; Embedded system","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":[0.002304416,0.0009629256,0.0007566044,0.001208532,0.0004099276,0.002855201,0.001236362,0.001231466,0.006584499],"category_scores_gemma":[0.002515613,0.0004487406,0.0005585263,0.0007952751,0.0006141801,0.001848013,0.001650663,0.0007799924,0.004443932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019492,"about_ca_system_score_gemma":0.00124373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008212121,"about_ca_topic_score_gemma":0.001649958,"domain_scores_codex":[0.9985268,0.0003922442,0.00008400198,0.0002695338,0.0006541678,0.00007311426],"domain_scores_gemma":[0.9982256,0.0003194791,0.00009902965,0.0001666222,0.001061059,0.0001281133],"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":[0.0005769177,0.0008262974,0.01052244,0.0004624737,0.000116715,0.0001158168,0.0002751971,0.002498958,0.6338995,0.00307169,0.007869629,0.3397644],"study_design_scores_gemma":[0.0004960606,0.005529688,0.06526875,0.0009404006,0.0005748581,0.002425589,0.001745092,0.189864,0.64223,0.01619359,0.07441331,0.0003187074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05127064,0.0009034977,0.9349054,0.0009673031,0.000396616,0.0005591635,0.001056668,0.002245444,0.007695321],"genre_scores_gemma":[0.1616354,0.001299188,0.8198961,0.001143028,0.0003163941,0.0009815004,0.001057609,0.0003849328,0.01328582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006584499,"threshold_uncertainty_score":0.02202731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371224212766959,"score_gpt":0.3826791802825002,"score_spread":0.3455567590058043,"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."}}