{"id":"W2018099115","doi":"10.1177/0278364906068393","title":"Smith Predictor Type Control Architectures for Time Delayed Teleoperation","year":2006,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Smith predictor; Model predictive control; Control theory (sociology); Controller (irrigation); Artificial neural network; Haptic technology; Nonlinear system; Stability (learning theory); Computer science; Control engineering; Engineering; Control (management); Simulation; PID controller; Artificial intelligence; Machine learning","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":[0.001070396,0.00007372032,0.0001208419,0.0001971067,0.00008050194,0.0001604135,0.0004553772,0.0000440403,0.00005771272],"category_scores_gemma":[0.0001923535,0.00004841319,0.00006344025,0.00009878229,0.00004717616,0.00004347501,0.00001677628,0.0002547298,0.00003492429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147323,"about_ca_system_score_gemma":0.0001088229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001768977,"about_ca_topic_score_gemma":0.0000207616,"domain_scores_codex":[0.998592,0.00007457827,0.0003554053,0.00005805839,0.0007547096,0.0001652636],"domain_scores_gemma":[0.9980114,0.0004267643,0.00005436015,0.00009518294,0.001368887,0.00004340475],"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":[0.0001851321,0.00002774616,0.0001798737,0.000007542124,0.0001819066,0.000006472616,0.000129886,0.9609641,0.01356165,0.002068891,0.02178752,0.000899239],"study_design_scores_gemma":[0.001730503,0.0003340223,0.001667363,0.00006124656,0.00002533632,0.0001916323,0.00006939122,0.9773591,0.003079672,0.001944594,0.01341821,0.0001189698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6750593,0.002307638,0.3008471,0.01006981,0.004220486,0.001232485,0.00009334458,0.0001299987,0.006039837],"genre_scores_gemma":[0.9957586,0.00001881574,0.001449357,0.00004097346,0.001635229,0.000006307361,0.000006044135,0.00001933531,0.001065369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206993,"threshold_uncertainty_score":0.1974232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461945157399061,"score_gpt":0.3060376033847289,"score_spread":0.2814181518107383,"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."}}