{"id":"W4387535132","doi":"10.1016/j.nima.2023.168770","title":"Wakefield damping in a distributed coupling linear accelerator","year":2023,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"CERN; University of Saskatchewan","keywords":"Coupling (piping); Wake; Physics; Linear particle accelerator; Boundary (topology); Mode (computer interface); Waveguide; Transverse plane; Ideal (ethics); Computational physics; Topology (electrical circuits); Optics; Mechanics; Computer science; Electrical engineering; Engineering; Mathematical analysis; Mathematics; Beam (structure)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001971305,0.0003356099,0.000482509,0.0007703401,0.000329124,0.0003000895,0.0001974094,0.000239945,0.0000328036],"category_scores_gemma":[0.0001456616,0.0003511543,0.0000709467,0.003015601,0.0001176227,0.0004465657,0.0002048185,0.001147543,0.000006723644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808218,"about_ca_system_score_gemma":0.00003820029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001903583,"about_ca_topic_score_gemma":0.0001100591,"domain_scores_codex":[0.9969465,0.0002658686,0.0005511137,0.0005604402,0.0004791704,0.001196899],"domain_scores_gemma":[0.9991505,0.0002314254,0.00007213918,0.00021854,0.00006732254,0.0002600304],"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":[0.0001854554,0.000423549,0.06645916,0.0002163275,0.0004198322,0.00007004305,0.002620822,0.004601776,0.7946836,0.0005255053,0.0004681957,0.1293257],"study_design_scores_gemma":[0.005223138,0.0009607889,0.07472444,0.000383963,0.00003682842,0.000007362336,0.003104252,0.7440303,0.1638366,0.003382995,0.00286994,0.001439459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980971,0.00008692544,0.0003751508,0.00005575373,0.0003711082,0.0004655874,0.00002122364,0.0002974863,0.0002296388],"genre_scores_gemma":[0.9967941,0.00145056,0.001402448,0.0000336071,0.0001194153,0.0000857565,0.0000236486,0.00008048853,0.000009957678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7394285,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428039445436409,"score_gpt":0.3750698639827154,"score_spread":0.3107894695283513,"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."}}