{"id":"W4407952582","doi":"10.1007/978-3-031-77588-8_46","title":"Investigating the Human Adaptation Behaviour to Active Ankle Exoskeleton Use: Kinematics and Energetics Perspective","year":2025,"lang":"en","type":"book-chapter","venue":"Biosystems & biorobotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energetics; Exoskeleton; Kinematics; Perspective (graphical); Adaptation (eye); Physical medicine and rehabilitation; Ankle; Computer science; Psychology; Medicine; Physics; Artificial intelligence; Anatomy; Biology; Classical mechanics; Ecology; Neuroscience","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002299705,0.0005869445,0.0005825037,0.0002911627,0.0003043663,0.0002328803,0.0002850736,0.0005427179,0.000007979173],"category_scores_gemma":[0.000165261,0.0004961884,0.0001455941,0.0001425002,0.000200211,0.00008950455,0.0001631184,0.000541075,0.00001442284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004562576,"about_ca_system_score_gemma":0.00009795898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009321437,"about_ca_topic_score_gemma":0.0001575339,"domain_scores_codex":[0.9979847,0.00005023201,0.0007558955,0.0004540056,0.0004184179,0.0003367438],"domain_scores_gemma":[0.9981422,0.0002851678,0.0002465993,0.0006053548,0.0005269465,0.0001937203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005427314,0.00005715016,0.0002117557,0.001747913,0.0005475495,0.00001212214,0.0114968,0.1837933,0.006196558,0.7877032,0.006057197,0.002171129],"study_design_scores_gemma":[0.005394424,0.003669459,0.008861913,0.03279517,0.008566681,0.0002205476,0.05209247,0.597026,0.01371947,0.1002905,0.1588774,0.01848603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1356663,0.03038145,0.2664759,0.01850813,0.03432781,0.04717487,0.007957924,0.008829629,0.450678],"genre_scores_gemma":[0.825402,0.0008054062,0.05613899,0.0004864867,0.001098635,0.0001455211,0.0003298151,0.0006381891,0.1149549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6897357,"threshold_uncertainty_score":0.999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234444380444098,"score_gpt":0.2452000052767197,"score_spread":0.2217555672323099,"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."}}