{"id":"W2626018386","doi":"10.3390/s17061384","title":"Instrumented Compliant Wrist with Proximity and Contact Sensing for Close Robot Interaction Control","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Controller (irrigation); Contact force; Robot end effector; Engineering; Instrumentation (computer programming); Robotics; Simulation; Computer science; Control engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004603456,0.0003796841,0.0003729634,0.0004099358,0.0001585207,0.0004429361,0.0008122153,0.0005475482,0.001180071],"category_scores_gemma":[0.0007620012,0.0001735101,0.0002615738,0.0003221314,0.0004850659,0.0004219235,0.0006428684,0.000264691,0.0003729817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397557,"about_ca_system_score_gemma":0.0001806853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009380242,"about_ca_topic_score_gemma":0.0001443357,"domain_scores_codex":[0.999106,0.0001120163,0.00005641821,0.0001248138,0.0005563861,0.00004432769],"domain_scores_gemma":[0.9993237,0.0001096446,0.0002471447,0.0001827752,0.0000978999,0.00003871564],"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":[0.0001568017,0.0001008333,0.0009314359,0.000180555,0.00001617312,0.0003192046,0.0001248882,0.003871497,0.9320279,0.001894033,0.0003303679,0.06004626],"study_design_scores_gemma":[0.00009681138,0.003817645,0.01305237,0.00008000712,0.00006765321,0.002356629,0.0000907428,0.1049164,0.8577743,0.001515977,0.01611623,0.0001152546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3611444,0.00137759,0.6299787,0.0001291439,0.000130077,0.0001618822,0.0000689263,0.001290017,0.005719428],"genre_scores_gemma":[0.9093666,0.000261419,0.08732483,0.00007359436,0.00002846137,0.0001018341,0.00004137982,0.0000317947,0.002769992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001180071,"threshold_uncertainty_score":0.003947794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474843155059949,"score_gpt":0.2583929078551074,"score_spread":0.2336444763045079,"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."}}