{"id":"W2890893738","doi":"10.18429/jacow-ipac2018-thpml083","title":"Iterative Learning Control to Cancel Beam Loading Effect on Amplitude and Phase of the Accelerating Field","year":2018,"lang":"en","type":"article","venue":"JACOW","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; TRIUMF","funders":"","keywords":"Phase (matter); Iterative learning control; Amplitude; Beam (structure); Field (mathematics); Computer science; Control (management); Physics; Optics; Artificial intelligence; Mathematics; Quantum mechanics","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":[0.0002994074,0.0001615758,0.0002681439,0.0000603088,0.0001743474,0.00008581513,0.0001128876,0.00005843322,0.00002930186],"category_scores_gemma":[0.0004911108,0.0001170758,0.00004731609,0.0001343913,0.00003013474,0.00007723589,0.00002615419,0.0002896699,0.0000198077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005182798,"about_ca_system_score_gemma":0.000006764385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003182241,"about_ca_topic_score_gemma":0.00002001836,"domain_scores_codex":[0.9991155,0.000149099,0.0002024543,0.0001753146,0.0001374487,0.0002201774],"domain_scores_gemma":[0.9990864,0.0005576595,0.00008069415,0.0001591831,0.00006193358,0.00005414271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002296981,0.00002402946,0.02810177,0.0001457276,0.0001774445,0.000004760449,0.008432768,0.02803864,0.9109929,0.0002129528,0.0009586418,0.02268066],"study_design_scores_gemma":[0.009617256,0.006640033,0.02628275,0.001734423,0.00009632788,0.00001544479,0.0003542386,0.2604919,0.6774673,0.0000233772,0.01640728,0.0008696501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866408,0.00007704213,0.009030665,0.0001199134,0.0003912644,0.000473789,0.000004327488,0.00008787966,0.003174317],"genre_scores_gemma":[0.9989042,3.761612e-7,0.00008216065,0.0003334177,0.0003773489,0.00004844715,5.585014e-7,0.00002475462,0.0002287729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2335256,"threshold_uncertainty_score":0.4774213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950020979635704,"score_gpt":0.2669593959665769,"score_spread":0.2574591861702198,"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."}}