{"id":"W3154649311","doi":"10.1007/978-981-33-6926-9_30","title":"Advanced Biomechanical Systems: Development and Design of an Accelerometer-Based Prosthetic Sensorimotor Platform","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Accelerometer; GRASP; Limiting; Computer science; SIGNAL (programming language); Sensitivity (control systems); Focus (optics); Simulation; Noise (video); Engineering; Control engineering; Human–computer interaction; Artificial intelligence; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001246349,0.0005114172,0.0007334739,0.0007034543,0.0000355738,0.00003532087,0.0001382707,0.0004472075,0.00001057232],"category_scores_gemma":[0.00009795217,0.0005168354,0.00008049166,0.0003420427,0.00002158983,0.00007676207,0.00002496781,0.0006511907,4.450181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427192,"about_ca_system_score_gemma":0.0000645926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001961861,"about_ca_topic_score_gemma":0.000002369199,"domain_scores_codex":[0.9982998,0.000012127,0.000550259,0.0004000672,0.0002854202,0.0004523536],"domain_scores_gemma":[0.9991369,0.000361739,0.00007723436,0.0002423823,0.00006658671,0.0001151603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006208974,0.00005264405,0.000003979092,0.001001777,0.0002950233,0.00005208693,0.0001119916,0.6582743,0.0539538,0.001277579,0.000003402346,0.2849114],"study_design_scores_gemma":[0.001207544,0.0006110308,0.0001210066,0.001101491,0.00008201627,0.00004844433,0.00000273656,0.8322284,0.158465,0.0003328253,0.004251026,0.001548565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01636427,0.01107181,0.9699399,0.00001760902,0.0003460489,0.001217118,0.00001149793,0.0005678213,0.0004639511],"genre_scores_gemma":[0.9556043,0.0004111602,0.04335063,0.00002661312,0.00009940311,0.0001415631,0.00005347057,0.0002262041,0.00008668481],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.93924,"threshold_uncertainty_score":0.9997283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822752645185752,"score_gpt":0.207131131444355,"score_spread":0.1889036049924975,"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."}}