{"id":"W2898138131","doi":"","title":"The Neura-Feat Powered Exoskeleton; Design and Control","year":2018,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Exoskeleton; Powered exoskeleton; Engineering; Control (management); Computer security; Risk analysis (engineering); Computer science; Simulation; Medicine; Artificial intelligence","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":[0.0003413164,0.0004908192,0.0002944469,0.0002691135,0.0002417271,0.0006644463,0.0005748153,0.0005696543,0.003729425],"category_scores_gemma":[0.0003440001,0.0001798386,0.0001942469,0.0001212157,0.0003320549,0.0003455259,0.0003774955,0.0002323394,0.001435241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100384,"about_ca_system_score_gemma":0.0003760303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718591,"about_ca_topic_score_gemma":0.0005951588,"domain_scores_codex":[0.9997193,0.00004616449,0.0000154535,0.00004622308,0.000160207,0.0000126641],"domain_scores_gemma":[0.999866,0.00001934325,0.00002557349,0.00001429802,0.00006349257,0.00001120069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003696019,0.0002023282,0.001227991,0.001119649,0.0001028084,0.0005564326,0.0003142591,0.1539828,0.2996838,0.02147704,0.01146315,0.5095001],"study_design_scores_gemma":[0.0001394982,0.002683822,0.003726843,0.0002075938,0.0001049423,0.001500708,0.000114498,0.736993,0.07354227,0.006812755,0.1740857,0.00008840903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01498493,0.0006640532,0.9532998,0.0002892392,0.0001421959,0.0003722589,0.0001338663,0.00139416,0.02871954],"genre_scores_gemma":[0.6910502,0.001323482,0.242839,0.0002560317,0.0001058573,0.001722299,0.0002745024,0.0002052327,0.0622234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003729425,"threshold_uncertainty_score":0.01247621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524240430980945,"score_gpt":0.2605220242499468,"score_spread":0.2352796199401374,"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."}}