{"id":"W2899322553","doi":"10.1115/detc2018-85234","title":"Electromechanical Design of Robotic Transfemoral Prostheses","year":2018,"lang":"en","type":"article","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Actuator; Pneumatic actuator; Wearable computer; Robot; Mechanical system; Engineering; Mechanical engineering; Mechanical energy; Computer science; Control engineering; Power (physics); Electrical engineering; Artificial intelligence; Embedded system","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":[0.000263146,0.0003347014,0.0002000558,0.0003922695,0.000138536,0.0004891122,0.0005688684,0.0005104135,0.00166461],"category_scores_gemma":[0.0003173378,0.000193642,0.0002425379,0.0001681529,0.0002054249,0.0004014049,0.0002932517,0.0001822411,0.0006275318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813728,"about_ca_system_score_gemma":0.0001837308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272101,"about_ca_topic_score_gemma":0.0002545918,"domain_scores_codex":[0.9997861,0.00003618195,0.00002292542,0.0000354255,0.0001046431,0.00001484564],"domain_scores_gemma":[0.9999361,0.00001337288,0.0000182552,0.000007928583,0.00001938484,0.000004935215],"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":[0.0001910913,0.0000905512,0.0008633669,0.001332215,0.00005415357,0.0007108693,0.0001534454,0.03686067,0.6275244,0.02769801,0.001644493,0.3028767],"study_design_scores_gemma":[0.0001758459,0.004188301,0.01365245,0.0006364367,0.0001836987,0.009720563,0.0003091483,0.3250279,0.3352864,0.0234549,0.2871794,0.0001849646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145651,0.0234925,0.8202917,0.0008890735,0.0005561096,0.0002682874,0.0002149212,0.0005392921,0.03918303],"genre_scores_gemma":[0.7861657,0.009622199,0.1853265,0.0002679385,0.0001225845,0.0002890693,0.0001503456,0.00004970432,0.01800606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00166461,"threshold_uncertainty_score":0.005568683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666013358299863,"score_gpt":0.221101875604613,"score_spread":0.2044417420216144,"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."}}