{"id":"W3183021577","doi":"10.1109/iros.2018.8593582","title":"Development of MR Clutch for a Prospective 5 DOF Robot","year":2018,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clutch; Torque; Robot; Computer science; Magnetorheological fluid; Degrees of freedom (physics and chemistry); Control engineering; Control theory (sociology); Simulation; Engineering; Control (management); Mechanical engineering; Artificial intelligence; Physics","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":[0.0004545301,0.0004272333,0.0003013604,0.0003914648,0.0002483245,0.0002722878,0.001045798,0.0005598286,0.001908727],"category_scores_gemma":[0.0003503017,0.0003760051,0.0004043652,0.0001127719,0.0002857807,0.0006141985,0.0006124077,0.0004949286,0.0009800335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611688,"about_ca_system_score_gemma":0.0005154848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003555415,"about_ca_topic_score_gemma":0.0003852836,"domain_scores_codex":[0.9996428,0.00003044804,0.00002250304,0.0000618736,0.000209545,0.00003276644],"domain_scores_gemma":[0.9998004,0.00002423579,0.0000436712,0.0000325341,0.00007698541,0.00002228931],"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":[0.0001510285,0.00006608411,0.001173279,0.0008471732,0.00003046702,0.0008280296,0.0002970599,0.02072952,0.8096071,0.01745141,0.001488145,0.1473306],"study_design_scores_gemma":[0.0002149513,0.004309179,0.007815009,0.0002969747,0.0001094178,0.005921802,0.0002234398,0.302633,0.4868565,0.002916291,0.1884069,0.0002965344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05230705,0.0007317509,0.9386845,0.0001075847,0.000138956,0.0002289207,0.00004474953,0.001375543,0.006380957],"genre_scores_gemma":[0.3659087,0.0004987559,0.6229389,0.00005606259,0.00004573113,0.0002111319,0.0001247155,0.0001143187,0.01010166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001908727,"threshold_uncertainty_score":0.006385326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858370248221438,"score_gpt":0.2420383231382518,"score_spread":0.2234546206560374,"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."}}