{"id":"W4414165523","doi":"10.46620/ursiaprasc25/enag8827","title":"Application of Beam Spoiling for Advanced Operations of SuperDARN Radars","year":2025,"lang":"en","type":"article","venue":"","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beam (structure); Radar; Radar tracker; Clutter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005288639,0.0004650131,0.0002735083,0.0003313055,0.0002146871,0.000479057,0.0005286331,0.0003397781,0.001547235],"category_scores_gemma":[0.0008493986,0.000163394,0.0001802986,0.0006274377,0.0003274822,0.0006582337,0.0009190558,0.0005675452,0.0005025338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979488,"about_ca_system_score_gemma":0.0003588527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004999969,"about_ca_topic_score_gemma":0.0005874856,"domain_scores_codex":[0.999476,0.0001023158,0.00002163032,0.00009691502,0.0002346385,0.0000684499],"domain_scores_gemma":[0.9994591,0.0001202668,0.0001423482,0.0001465909,0.0001032951,0.00002834875],"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":[0.0009362047,0.0001012747,0.005173298,0.0002053105,0.00003930433,0.0002474754,0.0003092787,0.02058249,0.7712572,0.006763688,0.001808021,0.1925766],"study_design_scores_gemma":[0.00008398206,0.001140013,0.01319074,0.00004250917,0.00004718377,0.001045033,0.0001596276,0.1676576,0.7729977,0.003059238,0.04043874,0.0001375957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2756811,0.001350818,0.7076622,0.000352426,0.000251607,0.0001806393,0.0004962771,0.001596954,0.01242798],"genre_scores_gemma":[0.7636962,0.0005541711,0.2333357,0.0001748681,0.0001038124,0.0001147612,0.0003750017,0.00009016079,0.001555286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001547235,"threshold_uncertainty_score":0.005176067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004340026822249106,"score_gpt":0.2356145194766959,"score_spread":0.2312744926544468,"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."}}