{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006961589,0.0001047849,0.000144049,0.00003543954,0.0002612504,0.0001393521,0.00003597067,0.00003692699,0.000005496544],"category_scores_gemma":[0.00004162781,0.0000931141,0.00002319064,0.00001361066,0.00002128055,0.0001719328,0.000007452645,0.0001176561,0.000005109416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000331667,"about_ca_system_score_gemma":0.000003992559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005308891,"about_ca_topic_score_gemma":0.00008423804,"domain_scores_codex":[0.9995514,0.00001598888,0.000113845,0.0001226384,0.00005801719,0.0001380735],"domain_scores_gemma":[0.9996399,0.00004118138,0.0000712969,0.0001618824,0.00003700235,0.00004879276],"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":[0.001007449,0.00005084532,0.0512955,0.0004154493,0.0004861285,0.00004732155,0.001952037,0.8428519,0.03881582,0.001769273,0.0003149973,0.0609933],"study_design_scores_gemma":[0.001548797,0.00005971717,0.05923962,0.00007666751,0.00002447588,0.00002892108,0.0001880138,0.9364572,0.0009377145,0.00001688562,0.001277077,0.0001449307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609233,0.00001013053,0.03693356,0.0002230464,0.0002097782,0.0003517415,0.000001901757,0.0001407513,0.001205851],"genre_scores_gemma":[0.9981924,0.000003109842,0.00159991,0.00002843361,0.00006144431,0.000002908865,0.000006762298,0.00002295641,0.00008204477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09360529,"threshold_uncertainty_score":0.3797083,"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."}}