{"id":"W2058336863","doi":"10.1007/s00542-009-0853-y","title":"Feasibility study on echo control of a prosthetic knee: sensors and wireless communication","year":2009,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Torque; Computer science; Control theory (sociology); Modality (human–computer interaction); Range (aeronautics); Cadence; Measure (data warehouse); Simulation; Artificial intelligence; Control (management); Engineering; Electronic engineering; Data mining; Physics","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":[0.001555812,0.0003734459,0.0002550324,0.0002914556,0.0003453884,0.0002933681,0.0005109478,0.0008708004,0.002986876],"category_scores_gemma":[0.002446775,0.0001622643,0.0002394185,0.0001077201,0.0005228848,0.001111445,0.0003590689,0.0003295659,0.0003241307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046381,"about_ca_system_score_gemma":0.0004607365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438073,"about_ca_topic_score_gemma":0.0004024607,"domain_scores_codex":[0.9993723,0.0003004532,0.00004901855,0.00007733958,0.0001314839,0.00006945593],"domain_scores_gemma":[0.9982339,0.001116436,0.00006713819,0.00009585008,0.0003240112,0.0001625991],"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":[0.01238219,0.002176462,0.01593908,0.000530629,0.00007355291,0.004533603,0.00110355,0.001872751,0.916903,0.00173739,0.0005921703,0.04215563],"study_design_scores_gemma":[0.002342464,0.1761149,0.08823785,0.0001268073,0.0004339702,0.01616446,0.003595762,0.03128749,0.6679618,0.001783113,0.01180723,0.0001441497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946848,0.0002547805,0.0501164,0.0002434736,0.0000793259,0.0002663078,0.00005973529,0.00005862768,0.002073206],"genre_scores_gemma":[0.991507,0.00009901083,0.006637765,0.00009020164,0.00004886503,0.00009373263,0.00004793672,0.000009966369,0.001465694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002986876,"threshold_uncertainty_score":0.009992123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096584886134276,"score_gpt":0.2277698656014146,"score_spread":0.2168040167400718,"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."}}