{"id":"W4402260524","doi":"10.23919/acc60939.2024.10644322","title":"Observations on Causal Iterative-Learning-Control &amp; Transients","year":2024,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Iterative learning control; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123863,0.0004420219,0.0003788749,0.0005467633,0.0005431204,0.0009462684,0.0007472265,0.001511631,0.005856364],"category_scores_gemma":[0.007717554,0.0002764899,0.0003093899,0.0004906266,0.001938973,0.002044962,0.0006416329,0.002500803,0.0007443335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155024,"about_ca_system_score_gemma":0.0002793478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168985,"about_ca_topic_score_gemma":0.0005289135,"domain_scores_codex":[0.999341,0.0001252467,0.00004296042,0.0001061879,0.0003149068,0.00006974799],"domain_scores_gemma":[0.9947817,0.003772162,0.0003056321,0.0005267681,0.0005543426,0.00005942253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001303308,0.00007000611,0.0008046681,0.0002425736,0.00001512078,0.0005511325,0.0005990748,0.09654301,0.007913454,0.8555844,0.005641479,0.03190475],"study_design_scores_gemma":[0.00003084483,0.00008227289,0.001322157,0.00009997729,0.00001318103,0.0005506694,0.0001005862,0.3604535,0.009612137,0.6064792,0.02119619,0.00005918043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04883092,0.002025465,0.8443932,0.006238039,0.0004772297,0.00005383611,0.0002617673,0.0009345558,0.0967849],"genre_scores_gemma":[0.9497213,0.002010823,0.0361732,0.0008962179,0.0005369331,0.00004900415,0.0001217251,0.0001338257,0.01035698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005856364,"threshold_uncertainty_score":0.01959151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787359284916879,"score_gpt":0.237126897316472,"score_spread":0.2192533044673032,"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."}}