{"id":"W2026680272","doi":"10.1115/1.4002492","title":"A Manipulator for Medical Applications: Design and Control","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"","keywords":"Robot; Workspace; USable; Computer science; Simulation; Robot control; Control engineering; Articulated robot; Teleoperation; Mobile robot; Engineering; 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":[0.0004952047,0.0007442803,0.0003537917,0.0005481834,0.0003908389,0.0006461623,0.0009523704,0.001015467,0.004627646],"category_scores_gemma":[0.0005231303,0.0002171782,0.0002295387,0.0003975876,0.0003788412,0.0004342679,0.0004730553,0.0006659707,0.002185126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440689,"about_ca_system_score_gemma":0.0007151929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004434025,"about_ca_topic_score_gemma":0.0005135774,"domain_scores_codex":[0.9994953,0.0000512624,0.00003195181,0.00008065693,0.0003140461,0.00002678758],"domain_scores_gemma":[0.9997218,0.00004304853,0.00005162839,0.0000260739,0.000128557,0.00002883433],"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":[0.0001885386,0.0001125575,0.0007790637,0.001366253,0.00004396518,0.0004697542,0.0002239902,0.02110925,0.3688125,0.01995476,0.01138461,0.5755547],"study_design_scores_gemma":[0.0002831976,0.004225201,0.007800233,0.0004254589,0.0001438504,0.004357419,0.00009941171,0.2510418,0.1361752,0.009118939,0.586069,0.00026021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008044525,0.003111196,0.9712116,0.0003131627,0.0003911817,0.0004882254,0.0001219399,0.002066513,0.01425174],"genre_scores_gemma":[0.2680194,0.004677261,0.6791423,0.0004743639,0.0006892003,0.002700198,0.0004877035,0.0001481945,0.04366142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004627646,"threshold_uncertainty_score":0.015481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212595940084787,"score_gpt":0.2749204674907684,"score_spread":0.2627945080899205,"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."}}