{"id":"W2196747924","doi":"10.2522/ptj.20140611","title":"“Stepping Up” Activity Poststroke: Ankle-Positioned Accelerometer Can Accurately Record Steps During Slow Walking","year":2015,"lang":"en","type":"article","venue":"Physical Therapy","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; GF Strong Rehabilitation Centre","funders":"Canadian Institutes of Health Research","keywords":"Accelerometer; Physical medicine and rehabilitation; Ankle; Waist; Power walking; Preferred walking speed; Activity monitor; Rehabilitation; Computer science; Physical therapy; Medicine; Physical activity; Simulation","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":[0.000388092,0.0002816803,0.0004599753,0.0000912638,0.0006060839,0.00004492508,0.0002595123,0.0001696026,0.00002520152],"category_scores_gemma":[0.00004614201,0.0002441374,0.0001788214,0.0003067699,0.0000477455,0.0004902777,0.0001043516,0.0007633863,0.0001883285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928781,"about_ca_system_score_gemma":0.0001333457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885531,"about_ca_topic_score_gemma":0.00004360998,"domain_scores_codex":[0.9974151,0.0007344083,0.0003439524,0.0004483052,0.0003652568,0.0006929389],"domain_scores_gemma":[0.9985937,0.0002336006,0.000299697,0.0004129298,0.0001929922,0.0002670634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001471547,0.001097638,0.01292605,0.0001413981,0.000208681,0.000009773972,0.008990757,0.000001250181,0.8652805,0.0003300729,0.0009209096,0.1086214],"study_design_scores_gemma":[0.008690957,0.0005104101,0.9729304,0.0004449589,0.00004174956,0.000003370539,0.00136297,0.0007032101,0.005270549,0.007193351,0.002082248,0.0007658811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944654,0.00006248085,0.000169288,0.0006844116,0.001178405,0.0008034785,0.00002957275,0.0002439486,0.002363039],"genre_scores_gemma":[0.9964417,0.0001409935,0.0001724323,0.0004581731,0.001422778,0.0001807908,0.00003649752,0.00005560234,0.001091054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9600043,"threshold_uncertainty_score":0.9955635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136544425037145,"score_gpt":0.3974046876243809,"score_spread":0.2837502451206664,"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."}}