{"id":"W2110979133","doi":"10.1109/iciea.2011.5975726","title":"Position domain contour control for robotic system","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Position (finance); Domain (mathematical analysis); Computer science; Trajectory; Motion control; Time domain; Control theory (sociology); Motion (physics); Tracking (education); Control system; Artificial intelligence; Computer vision; Control (management); Robot; Mathematics; Engineering; Physics","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":[0.0003148492,0.0003544046,0.0002799776,0.0002079186,0.0002348936,0.0005083023,0.0005700288,0.0003785002,0.001215552],"category_scores_gemma":[0.0005737788,0.0001166743,0.0002164173,0.0002358208,0.0004890978,0.0005533242,0.0004443732,0.000438202,0.0002030406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375647,"about_ca_system_score_gemma":0.0003552669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121012,"about_ca_topic_score_gemma":0.0006561305,"domain_scores_codex":[0.9998178,0.00002864542,0.000009377394,0.00004833705,0.00008439091,0.00001149421],"domain_scores_gemma":[0.999811,0.00005204094,0.00003414315,0.00002661433,0.00006728897,0.00000892691],"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":[0.0002681194,0.0001062717,0.0006379077,0.0003655435,0.00004223188,0.0002573243,0.000333565,0.4992104,0.1039323,0.06306852,0.002536391,0.3292414],"study_design_scores_gemma":[0.00002211023,0.0001442478,0.000177074,0.00000975279,0.000007272944,0.00006283818,0.000009227929,0.983833,0.008304245,0.003540483,0.003879413,0.00001040457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009743595,0.00019364,0.9872733,0.00005398565,0.00005519583,0.00002052271,0.00000761193,0.0001822511,0.002469761],"genre_scores_gemma":[0.8522471,0.000491864,0.1403222,0.00009370819,0.00006167644,0.0001063282,0.00005379854,0.0000427942,0.006580594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001215552,"threshold_uncertainty_score":0.004066408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009849787551655019,"score_gpt":0.188362546022565,"score_spread":0.17851275847091,"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."}}