{"id":"W2512916694","doi":"10.1109/tnsre.2016.2603472","title":"Performing Complex Tasks by Users With Upper-Extremity Disabilities Using a 6-DOF Robotic Arm: A Study","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Robotic arm; Robotics; Robot; Artificial intelligence; Computer science; Physical medicine and rehabilitation; Mode (computer interface); Focus (optics); Human–computer interaction; Psychology; Simulation; Computer vision; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001595489,0.0002715045,0.0002942217,0.0001916163,0.0001933247,0.00007653714,0.00006461508,0.00006670356,0.00002893676],"category_scores_gemma":[0.00001877502,0.0001976873,0.00006617161,0.0002135555,0.00006069927,0.0003998294,0.000001201837,0.0001887743,0.000003591565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782872,"about_ca_system_score_gemma":0.000007523173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009084289,"about_ca_topic_score_gemma":0.00001458121,"domain_scores_codex":[0.9987681,0.00006453753,0.0003731738,0.0002885807,0.00022781,0.0002778124],"domain_scores_gemma":[0.9991281,0.0004648512,0.00004021288,0.0002028512,0.00004569695,0.0001183002],"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":[0.00001688045,0.00006367218,0.002736549,0.0001944719,0.00004857231,7.704022e-7,0.001476908,0.9833336,0.01105944,0.0000136511,0.00001142893,0.001043999],"study_design_scores_gemma":[0.0007800796,0.0003437666,0.006046338,0.000241618,0.00004203528,0.00002458291,0.00358661,0.9884325,0.00009131922,9.915477e-7,0.00007719858,0.0003329947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6268842,0.00003935343,0.3720599,0.00004556465,0.0002885423,0.0004042014,0.00000366545,0.0002628565,0.00001179176],"genre_scores_gemma":[0.9990891,0.000005545103,0.0006469548,0.000003902108,0.00003540895,0.00007760897,0.00000129306,0.00006085033,0.00007931064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.372205,"threshold_uncertainty_score":0.8061454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197239294185637,"score_gpt":0.2308319529758421,"score_spread":0.2088595600339857,"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."}}