{"id":"W2941276576","doi":"10.1016/j.jbiomech.2019.04.027","title":"Muscle-specific indices to characterise the functional behaviour of human lower-limb muscles during locomotion","year":2019,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Ankle; Muscle architecture; Computer science; Work (physics); Lower limb; Physical medicine and rehabilitation; Anatomy; Biology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761897,0.0004337872,0.0002778145,0.001166379,0.0001220625,0.0002796785,0.0001616931,0.00032998,0.001310303],"category_scores_gemma":[0.001293359,0.0001011158,0.0001911038,0.0008474604,0.0001417898,0.0003729391,0.0002176299,0.0002679065,0.0002953266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008758873,"about_ca_system_score_gemma":0.00009257196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003926077,"about_ca_topic_score_gemma":0.001044628,"domain_scores_codex":[0.9998728,0.00003017352,0.000017295,0.00002442575,0.0000424198,0.0000128134],"domain_scores_gemma":[0.9995164,0.0001916042,0.00009787658,0.00002999724,0.0001258271,0.00003842169],"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":[0.001551878,0.0003628673,0.1665488,0.00105204,0.0004277813,0.0003051059,0.0006558932,0.004091168,0.6023849,0.0006292535,0.000939258,0.221051],"study_design_scores_gemma":[0.00003105693,0.001305009,0.9582345,0.00005968971,0.0001798808,0.00118992,0.0003381493,0.00723316,0.02934632,0.0003626184,0.001691933,0.00002772234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666282,0.001479524,0.02679759,0.00004333835,0.00002894866,0.0001884803,0.0007884683,0.00008564355,0.003959757],"genre_scores_gemma":[0.9881957,0.0005278834,0.009264594,0.00003682654,0.00003018684,0.0001288759,0.0005632322,0.00002697066,0.001225715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001310303,"threshold_uncertainty_score":0.004383326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205434138369913,"score_gpt":0.2060746053270257,"score_spread":0.1940202639433266,"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."}}