{"id":"W1998976473","doi":"10.1682/jrrd.2010.08.0165","title":"Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm","year":2011,"lang":"en","type":"article","venue":"The Journal of Rehabilitation Research and Development","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Usability; Task (project management); Computer science; Protocol (science); Residual; Motion (physics); SIGNAL (programming language); Physical medicine and rehabilitation; Dual (grammatical number); Motion control; Artificial intelligence; Human–computer interaction; Engineering; Medicine; Robot","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":[0.001722858,0.001043865,0.0006546074,0.0005469851,0.0001649206,0.0004481011,0.0006251837,0.0005552439,0.001054941],"category_scores_gemma":[0.004967102,0.0003026045,0.0002773852,0.0001497724,0.0002551151,0.0004938217,0.0006639697,0.0003114069,0.000242119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819978,"about_ca_system_score_gemma":0.0002991511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376244,"about_ca_topic_score_gemma":0.0004343404,"domain_scores_codex":[0.9988211,0.0003677655,0.0001682678,0.0001991077,0.0003560827,0.00008765933],"domain_scores_gemma":[0.9978632,0.001065991,0.0001427038,0.0001897373,0.0005788783,0.0001595119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004918664,0.003601395,0.003035924,0.0008624612,0.0001332046,0.0000907232,0.0004241352,0.003332039,0.8442023,0.0002005736,0.0001423751,0.1390563],"study_design_scores_gemma":[0.002439291,0.1400345,0.1081313,0.0001324128,0.0006859756,0.001688675,0.0004369132,0.08556273,0.6560725,0.0006410129,0.003949401,0.0002253728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089059,0.0002185337,0.08907161,0.00002154102,0.00002725573,0.0008291097,0.00009632311,0.000128531,0.0007010955],"genre_scores_gemma":[0.8990012,0.0002161601,0.0976206,0.00005268031,0.000026037,0.001490898,0.0002529012,0.00005015007,0.001289407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001722858,"threshold_uncertainty_score":0.009111464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1652121681120011,"score_gpt":0.3577809959955962,"score_spread":0.1925688278835951,"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."}}