{"id":"W2143900265","doi":"10.1109/whc.2009.4810885","title":"Improving transparency in network-based haptics","year":2009,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Haptic technology; Transparency (behavior); Computer science; Fidelity; Admittance; Stability (learning theory); Scheme (mathematics); Human–computer interaction; Distributed computing; Simulation; Engineering; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006698575,0.00006453235,0.00008369099,0.0000350823,0.00001342179,0.00002186705,0.0000465998,0.00004029712,0.0001094359],"category_scores_gemma":[0.000003318054,0.0000612269,0.00001876483,0.00009915337,0.000002980739,0.00004484261,6.485978e-7,0.00005757196,0.00002545962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000224177,"about_ca_system_score_gemma":0.000008888574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746394,"about_ca_topic_score_gemma":0.000191436,"domain_scores_codex":[0.9995597,0.000005899579,0.0001668606,0.00006346387,0.00005577164,0.000148316],"domain_scores_gemma":[0.9998569,0.00001037867,0.000005685656,0.00008672861,0.000007448738,0.00003285247],"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":[0.000003299729,0.00002286699,0.002291323,0.00003254453,0.00000396222,0.000008651532,0.0002070695,0.941339,0.004468216,0.006864096,0.001192452,0.04356654],"study_design_scores_gemma":[0.0003281179,0.00002417222,0.005465115,0.00001519669,0.000002149966,9.512225e-7,0.00001870777,0.9923198,0.0004304544,0.00004677329,0.001232104,0.0001165184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1216787,0.0005352049,0.7671329,0.0003892377,0.0007655213,0.000349047,0.000001730278,0.001199019,0.1079487],"genre_scores_gemma":[0.9964999,0.000003546525,0.00308259,0.0001927607,0.00008424376,0.000003205605,0.000002125349,0.00000704724,0.000124585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8748212,"threshold_uncertainty_score":0.249676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008789570526411753,"score_gpt":0.1913799160674561,"score_spread":0.1825903455410444,"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."}}