{"id":"W2901376611","doi":"10.1016/j.measurement.2019.07.034","title":"Reducing parasitic resonances in particle accelerators components by broadband Higher–Order–Mode couplers","year":2019,"lang":"en","type":"article","venue":"Measurement","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"CERN; Huntington Society of Canada","keywords":"Broadband; Emulation; Classification of discontinuities; Bandwidth (computing); Physics; Particle accelerator; Parasitic extraction; Component (thermodynamics); Computational physics; Electronic engineering; Engineering; Optics; Beam (structure); Optoelectronics; Telecommunications; Mathematics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008089734,0.0007940377,0.0002630542,0.0005148825,0.0004552187,0.0006468925,0.0007864003,0.0008645271,0.002369609],"category_scores_gemma":[0.001200362,0.0004463258,0.0002468748,0.0004326146,0.0005094369,0.001288854,0.0005749108,0.0004458107,0.0006737357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006608838,"about_ca_system_score_gemma":0.0002323545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858435,"about_ca_topic_score_gemma":0.001347356,"domain_scores_codex":[0.9990595,0.0002224667,0.00003864993,0.0002418486,0.0003617699,0.0000756923],"domain_scores_gemma":[0.9985875,0.0004412938,0.0003999575,0.0002179747,0.0002818352,0.0000713959],"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":[0.0003887574,0.0001333843,0.00212587,0.0001104339,0.00004581916,0.00005802058,0.0001779018,0.002704557,0.9691984,0.002297465,0.000441956,0.02231735],"study_design_scores_gemma":[0.00003182851,0.0005298632,0.005760125,0.00003685484,0.00006642894,0.000204285,0.00006739259,0.03401961,0.9525713,0.0004810064,0.006187832,0.00004338993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132532,0.0008475924,0.1744529,0.0004083586,0.0001147057,0.00007207991,0.00009364806,0.001316192,0.009441268],"genre_scores_gemma":[0.9620576,0.0001332934,0.03481779,0.0001064403,0.00003863724,0.00002374048,0.00005420545,0.00009737859,0.002671091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002369609,"threshold_uncertainty_score":0.00792712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054450331087774,"score_gpt":0.2384961411597725,"score_spread":0.2079516378488948,"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."}}