{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008928168,0.00008297105,0.0001096394,0.00004243232,0.00005484359,0.00001985797,0.00003540896,0.00004747352,0.000002317242],"category_scores_gemma":[0.00001730032,0.00008118761,0.00002940747,0.00004123491,0.00001431774,0.0001031411,0.000002136847,0.00005949063,0.000007328264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007831252,"about_ca_system_score_gemma":0.000009899648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002044271,"about_ca_topic_score_gemma":0.00001711972,"domain_scores_codex":[0.9995736,0.000005811568,0.0001238706,0.0001134552,0.00005512621,0.0001281657],"domain_scores_gemma":[0.9997819,0.00006223063,0.00001685554,0.00007218965,0.0000361951,0.00003060285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003171212,0.00003902265,0.0008091932,0.0001280471,0.00008333164,4.49461e-7,0.0006205012,0.2653744,0.7061781,0.01916746,0.000130489,0.007437286],"study_design_scores_gemma":[0.008854182,0.000129357,0.05076684,0.0000612994,0.00004020554,0.00004317822,0.0001340121,0.9215453,0.001802186,0.0008402318,0.01534508,0.0004380983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02433584,0.0004368151,0.9732142,0.0001152672,0.00007834697,0.0005535507,0.000009797111,0.0002710694,0.000985119],"genre_scores_gemma":[0.9946077,0.00000127675,0.004874991,0.00005791287,0.0001487514,0.0002099457,0.000005938928,0.00002077484,0.00007268316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9702719,"threshold_uncertainty_score":0.3310735,"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."}}