{"id":"W2120274407","doi":"10.2514/6.2006-6523","title":"Practical, Model-Free, Completely Robust Learning Control using Reversed Time Input Runs","year":2006,"lang":"en","type":"article","venue":"AIAA/AAS Astrodynamics Specialist Conference and Exhibit","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Control (management); Control theory (sociology); Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004001327,0.0005215721,0.0007579572,0.0001973408,0.0003886878,0.0005677218,0.0002790889,0.0002415633,0.0001605311],"category_scores_gemma":[0.0001485168,0.0005722258,0.0001338016,0.0002256102,0.0002086233,0.0005418414,0.00009981108,0.0008132935,0.0000801601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414973,"about_ca_system_score_gemma":0.000127107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003403785,"about_ca_topic_score_gemma":0.0002978003,"domain_scores_codex":[0.9973863,0.0001934755,0.0006866926,0.0005514789,0.0004194269,0.0007625829],"domain_scores_gemma":[0.9986827,0.0001831094,0.0002259977,0.0004708849,0.0002626675,0.0001746834],"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":[0.00006920477,0.00004312424,0.002988344,0.00006530253,0.0001015222,0.00004820466,0.0001956427,0.9434429,0.03042821,0.02038689,0.001962083,0.0002685707],"study_design_scores_gemma":[0.001780269,0.00007963341,0.001024075,0.0001182481,0.00009081051,0.00004806489,0.0001085796,0.992662,0.00003575567,0.0004882288,0.002995512,0.0005688564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2839624,0.00009606889,0.6940094,0.0005520796,0.0003838798,0.0006226696,0.0001551209,0.0005693428,0.01964904],"genre_scores_gemma":[0.9858868,0.00001403133,0.0117871,0.00008178099,0.0008131955,0.00001774375,0.0001264931,0.000104471,0.001168457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7019244,"threshold_uncertainty_score":0.9996729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209711327744804,"score_gpt":0.2286304270099136,"score_spread":0.2076592942354332,"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."}}