{"id":"W3044299777","doi":"10.1242/bio.051581","title":"Mechanical and energetic determinants of impaired gait following stroke: segmental work and pendular energy transduction during treadmill walking","year":2020,"lang":"en","type":"article","venue":"Biology Open","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Physical medicine and rehabilitation; Mechanical energy; Stroke (engine); Treadmill; Neurorehabilitation; Work (physics); Gait; Physical therapy; Lift (data mining); Rehabilitation; Medicine; Computer science; Physics; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000506452,0.0001086665,0.0002330563,0.00004213506,0.00007048566,0.00001354025,0.00008167894,0.00006544509,0.00001225219],"category_scores_gemma":[0.000009839964,0.0001028956,0.00004297563,0.00009762191,0.00002676793,0.00009337955,0.00006434372,0.00005115298,6.855652e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009304391,"about_ca_system_score_gemma":0.000003934484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695655,"about_ca_topic_score_gemma":0.00002267952,"domain_scores_codex":[0.9994405,0.00003294115,0.0001624225,0.0001746103,0.00003377572,0.0001557745],"domain_scores_gemma":[0.9998337,0.00002184958,0.00002593694,0.00005454908,0.000005795304,0.00005818992],"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":[0.000128574,0.00002121029,0.04709027,0.00007363744,0.0003191001,0.000009144341,0.0007691518,0.00002412612,0.87622,0.000206556,0.00003923718,0.07509894],"study_design_scores_gemma":[0.003148491,0.0005474465,0.2719799,0.00009931255,0.0001468064,0.00002344896,0.0007390394,0.001937567,0.7196366,0.0001601673,0.0009775447,0.0006036492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987749,0.0005559963,0.0002996449,0.00009254564,0.00007467032,0.00008925933,0.000004687452,0.00004225682,0.00006597725],"genre_scores_gemma":[0.9993568,0.0002627614,0.0002791506,0.00003168033,0.00002813398,0.00001691913,0.000004955238,0.00001223131,0.000007362725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2248896,"threshold_uncertainty_score":0.4195961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531915856385693,"score_gpt":0.2297197562532116,"score_spread":0.2144005976893547,"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."}}