{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000447388,0.00004641658,0.00009775505,0.00004526382,0.00002310792,0.000003532561,0.00005952461,0.00002352112,0.000004869864],"category_scores_gemma":[0.0000123231,0.00004638417,0.00003148819,0.0001609378,0.00001405542,0.00006984846,0.00000546155,0.00002343508,5.938621e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632485,"about_ca_system_score_gemma":0.0000158744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147034,"about_ca_topic_score_gemma":0.00004145107,"domain_scores_codex":[0.9996416,0.000001970725,0.0001721852,0.00006305716,0.00003347545,0.00008770751],"domain_scores_gemma":[0.9997855,0.00002668663,0.000007985186,0.0001164465,0.00004898342,0.00001438675],"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":[0.00000880445,0.000019096,0.0008577055,0.00005141792,0.00002129814,1.276911e-8,0.00002697067,0.1318884,0.8414751,0.01167232,0.0001067155,0.01387213],"study_design_scores_gemma":[0.0002650947,0.00001681938,0.0003706897,0.000005375582,0.000008973044,4.979684e-8,0.00003976201,0.1992666,0.7987865,0.000160798,0.001041909,0.00003743613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6337141,0.0001241775,0.3646657,0.0000287941,0.00003272802,0.0001782141,0.000006703503,0.00004214945,0.001207376],"genre_scores_gemma":[0.9928831,0.00001853126,0.006943515,0.00001468689,0.000007106116,0.00005064645,0.000008610717,0.000006371345,0.00006740432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.359169,"threshold_uncertainty_score":0.1891492,"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."}}