{"id":"W2767145372","doi":"10.1016/j.ifacol.2017.08.1251","title":"Improved Transparency for Haptic Systems with Complex Environments","year":2017,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Haptic technology; Transparency (behavior); Computer science; Nonlinear system; Control theory (sociology); Linear matrix inequality; Controller (irrigation); Simulation; Control (management); Mathematical optimization; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004452997,0.0003844058,0.0003191081,0.0001476593,0.0002379434,0.00064159,0.0002876903,0.0004798213,0.001491184],"category_scores_gemma":[0.001977402,0.0002088385,0.000205426,0.0001385923,0.0005597221,0.0007512638,0.001004198,0.0009222742,0.0002564154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152763,"about_ca_system_score_gemma":0.0004899958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008802183,"about_ca_topic_score_gemma":0.0008290151,"domain_scores_codex":[0.9997274,0.00007532855,0.00001219762,0.00002935414,0.000129744,0.00002592612],"domain_scores_gemma":[0.9989634,0.0006657357,0.0001176308,0.0001154526,0.0001072402,0.00003049119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003037302,0.0001181519,0.001478919,0.0003488688,0.00003513118,0.0004055197,0.0004899573,0.6530797,0.1657113,0.02511667,0.00118826,0.1517239],"study_design_scores_gemma":[0.000009321599,0.0001328049,0.0002685494,0.00001171209,0.00000326173,0.00009963047,0.00001445311,0.9869315,0.009245412,0.002155016,0.001115594,0.00001263429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04656874,0.000480483,0.9503767,0.0001919698,0.00005655853,0.00002514954,0.00001494282,0.000401087,0.00188439],"genre_scores_gemma":[0.9022296,0.0005842005,0.09357788,0.00006808268,0.00003924587,0.00003946062,0.00002555424,0.00004046241,0.003395518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001491184,"threshold_uncertainty_score":0.004988551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131902143081206,"score_gpt":0.2398947835982954,"score_spread":0.2085757621674833,"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."}}