{"id":"W7132883754","doi":"","title":"Mechanomyography sensor design and multisensor fusion for upper-limb prosthesis control","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; University of Toronto","keywords":"Sensor fusion; Reduction (mathematics); Noise (video); SIGNAL (programming language); Prosthesis; Prosthetic hand","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000454827,0.0004042198,0.0003845603,0.0002479025,0.0001055181,0.0005448571,0.0004359384,0.0004893396,0.001217239],"category_scores_gemma":[0.0004792778,0.0002388842,0.0002822643,0.0002259166,0.0002878925,0.0005740109,0.0003292242,0.0002806179,0.0003327153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271108,"about_ca_system_score_gemma":0.0003104228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002076608,"about_ca_topic_score_gemma":0.0003999576,"domain_scores_codex":[0.9995097,0.00009040914,0.00002808919,0.0001004366,0.0002420764,0.00002917392],"domain_scores_gemma":[0.99985,0.00004440989,0.00002565937,0.00001937539,0.00005357336,0.000007008595],"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":[0.0001736192,0.00005066136,0.0005680508,0.0003069148,0.00004984207,0.00007707082,0.00008272483,0.03604818,0.7812686,0.007688946,0.0005574979,0.173128],"study_design_scores_gemma":[0.00006015288,0.0008184339,0.004504399,0.00006135087,0.00008130074,0.0005177076,0.00006140344,0.4363725,0.5300977,0.01010157,0.01726924,0.00005410903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04206361,0.001750898,0.9522309,0.0001582397,0.00004393706,0.00005059266,0.00003567148,0.0002402798,0.003425897],"genre_scores_gemma":[0.6401663,0.00200379,0.348698,0.0001403183,0.00007659426,0.0001643058,0.000119593,0.00006363084,0.008567334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001217239,"threshold_uncertainty_score":0.00407207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228707343147617,"score_gpt":0.2698914031500693,"score_spread":0.2576043297185931,"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."}}