{"id":"W2767453544","doi":"10.1109/toh.2017.2768526","title":"Analog Haptic Control: Advantages and Challenges","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Stability (learning theory); Computer science; Range (aeronautics); Controller (irrigation); Frequency domain; Virtual reality; Domain (mathematical analysis); Decomposition; Analog computer; Control theory (sociology); Control engineering; Sampling (signal processing); Virtual machine; Simulation; Engineering; Control (management); Artificial intelligence; Computer vision; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00146019,0.000443921,0.0006545104,0.0005836567,0.000380422,0.002500744,0.001714352,0.001465582,0.006276772],"category_scores_gemma":[0.003457826,0.0003502785,0.0002772892,0.0005613902,0.001321545,0.002665349,0.001493212,0.001368191,0.0008562445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292942,"about_ca_system_score_gemma":0.0003085474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005076373,"about_ca_topic_score_gemma":0.0004206899,"domain_scores_codex":[0.9982382,0.0002854151,0.00006250663,0.0001445518,0.001207212,0.00006209844],"domain_scores_gemma":[0.997879,0.001190741,0.0001258896,0.0002876116,0.0004299433,0.00008692306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005484044,0.0001981251,0.001626234,0.001970841,0.00006692774,0.0005016178,0.0004074258,0.02652988,0.03611711,0.164893,0.004006161,0.7631343],"study_design_scores_gemma":[0.0002956868,0.002694461,0.003650101,0.001351031,0.0001401815,0.006061276,0.00113255,0.4089425,0.04468013,0.3286383,0.2020668,0.0003469618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06254551,0.1052556,0.7249271,0.01341947,0.001218335,0.0001273476,0.0001085671,0.001271324,0.09112677],"genre_scores_gemma":[0.8809561,0.02920777,0.07481137,0.001317044,0.001556771,0.00009920782,0.00005373094,0.0001240586,0.011874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006276772,"threshold_uncertainty_score":0.02099794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303553839811207,"score_gpt":0.2412304462698555,"score_spread":0.2081949078717434,"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."}}