{"id":"W2911027871","doi":"","title":"Development of MR Clutch for a Prospective 5 DOF Robot* This work was supported in part by Canada Foundation for Innovation (CFI) and Natural Sciences and Engineering Research Council (NSERC) of Canada under grant No.25031 and RGPIN-346166.","year":2018,"lang":"en","type":"article","venue":"Intelligent Robots and Systems","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clutch; Torque; Foundation (evidence); Robot; Work (physics); Engineering; Engineering research; Mechanical engineering; Control engineering; Computer science; Electrical engineering; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005390939,0.0004133851,0.0002768871,0.000353066,0.0002555823,0.0002902441,0.0009312996,0.0005700888,0.00162786],"category_scores_gemma":[0.0004364573,0.0002946508,0.0003415478,0.00009838448,0.0003778026,0.0006735903,0.0006837278,0.0005186113,0.0007151135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001809689,"about_ca_system_score_gemma":0.0005370202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002673158,"about_ca_topic_score_gemma":0.0004151068,"domain_scores_codex":[0.9997093,0.00002745891,0.0000236044,0.00006277624,0.0001480884,0.00002865499],"domain_scores_gemma":[0.9996985,0.00004325923,0.00006599931,0.00004879962,0.0001090372,0.00003437073],"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":[0.0001550769,0.00007913356,0.001178868,0.0006903574,0.00002851523,0.0005485291,0.0003265028,0.01628037,0.8140002,0.01789205,0.001258814,0.1475616],"study_design_scores_gemma":[0.0001416369,0.004377132,0.006184604,0.0002095794,0.00008657585,0.004126899,0.0002349615,0.2769332,0.5544196,0.002641152,0.1504319,0.0002128579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0644163,0.0005549077,0.9289249,0.0001334484,0.0001641079,0.0002447995,0.00004269675,0.0009675982,0.004551187],"genre_scores_gemma":[0.3601662,0.000330397,0.6327128,0.00005901666,0.00003355889,0.0001633178,0.0001050334,0.00007773212,0.006351905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00162786,"threshold_uncertainty_score":0.005445719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07109849324100184,"score_gpt":0.2696675512551679,"score_spread":0.1985690580141661,"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."}}