{"id":"W1561095256","doi":"10.1109/icarcv.2002.1234967","title":"A novel evolutionary PD control and application for trajectory tracking","year":2004,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Trajectory; Tracking (education); Control theory (sociology); Computer science; Robot; Control engineering; Control (management); Robot manipulator; Iterative learning control; Artificial intelligence; Engineering","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":[0.0003032846,0.0004107363,0.0003264243,0.0003372051,0.0002812867,0.0004000688,0.00057097,0.0004987742,0.001074376],"category_scores_gemma":[0.0007244801,0.0001404734,0.0002749022,0.0003198726,0.000378583,0.0003452374,0.0005024921,0.0004182696,0.0001558807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921315,"about_ca_system_score_gemma":0.0002514892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008795987,"about_ca_topic_score_gemma":0.0005131952,"domain_scores_codex":[0.999788,0.00003827587,0.000014216,0.0000579339,0.0000891048,0.00001245039],"domain_scores_gemma":[0.9998746,0.00003630724,0.00001407297,0.00001541971,0.00005080046,0.000008855367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001324165,0.0001108677,0.0008495027,0.0003803681,0.00007400374,0.0004317038,0.0001695351,0.2580641,0.06317917,0.05100169,0.002614876,0.6229917],"study_design_scores_gemma":[0.00003859277,0.0001713504,0.0003327033,0.00001482673,0.00001632277,0.0002477589,0.00000946937,0.9796091,0.006678502,0.004382484,0.00848199,0.00001698822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005158933,0.0002704124,0.9918882,0.00006311573,0.00006690425,0.00002796308,0.000006773774,0.0001302584,0.002387407],"genre_scores_gemma":[0.6519009,0.0009151537,0.3393231,0.0001874763,0.00009672649,0.0002114751,0.00006035862,0.00003000015,0.007274717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001074376,"threshold_uncertainty_score":0.00359416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006561523831384594,"score_gpt":0.2080823271586185,"score_spread":0.2015208033272339,"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."}}