{"id":"W3190659890","doi":"10.1098/rspb.2021.1197","title":"Human biomechanics perspective on robotics for gait assistance: challenges and potential solutions","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"FP7 Information and Communication Technologies","keywords":"Gait; Robotics; Perspective (graphical); Computer science; Process (computing); Variety (cybernetics); Human–computer interaction; Software; Artificial intelligence; Mechatronics; Simulation; Robot; Engineering; Physical medicine and rehabilitation; Medicine","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":[0.0003102153,0.00009019549,0.000123361,0.000009575112,0.0004035855,0.00003832041,0.0001805736,0.0001023145,0.000003699325],"category_scores_gemma":[0.0001054214,0.00005379256,0.0001443084,0.0001392948,0.0004562275,0.00002854975,0.00009461905,0.00009146729,2.885569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004750062,"about_ca_system_score_gemma":0.00001181801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.525624e-7,"about_ca_topic_score_gemma":2.534632e-7,"domain_scores_codex":[0.9993196,0.000004427567,0.0001238874,0.0002091942,0.0001415438,0.000201338],"domain_scores_gemma":[0.999633,0.00004975154,0.00004536882,0.00003668792,0.000197885,0.00003736077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004290777,0.0001506949,0.0002355296,0.0001488113,0.00006373671,1.073296e-7,0.001308173,0.01488473,0.06121895,0.9201399,0.0007288172,0.001116273],"study_design_scores_gemma":[0.0008566166,0.001683913,0.02021031,0.000231462,0.00009763686,0.000009445308,0.03711037,0.4387319,0.02465506,0.4751494,0.0004702518,0.0007936583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549692,0.01048515,0.004747872,0.01594275,0.0008765575,0.0008523331,0.00006717486,0.0002617239,0.01179728],"genre_scores_gemma":[0.9912657,0.0004449926,0.008126799,0.00003844538,0.00004521498,0.00001061724,3.915864e-7,0.000004365737,0.00006352726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4449905,"threshold_uncertainty_score":0.3104094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690523211888114,"score_gpt":0.2606588387604376,"score_spread":0.2237536066415565,"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."}}