{"id":"W2106788096","doi":"10.1109/icra.2011.5979825","title":"Adaptive frequency differentiation: An approach to increase the transparency and performance of haptic devices","year":2011,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quanser (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Haptic technology; Robustness (evolution); Transparency (behavior); Bandwidth (computing); Encoder; Stability (learning theory); Control theory (sociology); Noise (video); Simulation; Computer vision; Artificial intelligence; Telecommunications","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":[0.000455511,0.000545528,0.0003240516,0.0006739065,0.0003354253,0.0006531314,0.0007880792,0.0005833096,0.001684237],"category_scores_gemma":[0.001829006,0.0002575846,0.0002776252,0.0004516857,0.0006450037,0.0008951203,0.0009317589,0.0006315359,0.0003963894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005650026,"about_ca_system_score_gemma":0.00051922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098464,"about_ca_topic_score_gemma":0.0006849467,"domain_scores_codex":[0.9994942,0.00006939805,0.00002959304,0.00008755168,0.0002795096,0.00003972248],"domain_scores_gemma":[0.9993038,0.0003009895,0.0001001364,0.0001108485,0.0001519653,0.00003218077],"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":[0.0004408717,0.0002201876,0.001216525,0.0002825696,0.00002878922,0.0001978464,0.0003802729,0.07621437,0.4809297,0.02445343,0.00105889,0.4145766],"study_design_scores_gemma":[0.0000897521,0.0004338787,0.001060264,0.00004592341,0.0000267095,0.0005251102,0.00004829395,0.8330724,0.1402433,0.01046081,0.01392628,0.00006731257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01952221,0.0004087847,0.977156,0.0001132142,0.00005505026,0.00003727652,0.00001190995,0.0006058178,0.002089694],"genre_scores_gemma":[0.356037,0.0003767145,0.6408794,0.00008815579,0.00006333294,0.00005006987,0.00002639908,0.0001144808,0.002364357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001684237,"threshold_uncertainty_score":0.005634367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06494786015173457,"score_gpt":0.2179321665075459,"score_spread":0.1529843063558113,"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."}}