{"id":"W4321211463","doi":"10.1029/2022rs007591","title":"Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems","year":2023,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Radar; Computer science; Software; Upgrade; Remote sensing; Radar imaging; Radar systems; Radar lock-on; Real-time computing; Computer hardware; Continuous-wave radar; Telecommunications; Geography; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118955,0.0008726057,0.000374114,0.0005885505,0.0003663869,0.001271193,0.001922388,0.0005024662,0.008231526],"category_scores_gemma":[0.001461648,0.0004088836,0.0005310433,0.0003315099,0.0003634643,0.001259491,0.0009427341,0.0009522216,0.00288692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000813627,"about_ca_system_score_gemma":0.001093345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005914,"about_ca_topic_score_gemma":0.001925575,"domain_scores_codex":[0.9988035,0.0001880951,0.00009195617,0.0001486949,0.0006377462,0.0001300327],"domain_scores_gemma":[0.9990959,0.0000959982,0.0001311177,0.0001816873,0.0003952107,0.0001001272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002642455,0.0004044714,0.007671608,0.0009541002,0.0003290852,0.00110402,0.000600029,0.05591953,0.2534343,0.05155222,0.08272435,0.5426638],"study_design_scores_gemma":[0.0007418877,0.001805274,0.005894991,0.0001583825,0.0002490593,0.001848893,0.00008795891,0.4082671,0.1523051,0.009422293,0.4190069,0.0002121038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03236749,0.001454114,0.8968431,0.0004118533,0.0003889461,0.0004138102,0.0005909361,0.04175029,0.0257794],"genre_scores_gemma":[0.4075878,0.0006573799,0.5656201,0.0006940865,0.000150017,0.0004144291,0.001912775,0.003002656,0.0199608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008231526,"threshold_uncertainty_score":0.02753717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125176231608894,"score_gpt":0.2424823736833791,"score_spread":0.2299647505224897,"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."}}