{"id":"W2980077948","doi":"10.18429/jacow-ipac2019-weprb004","title":"Sawtooth Generation and Regulation with a Single FPGA for TRIUMF’s ARIEL Prebuncher","year":2019,"lang":"en","type":"article","venue":"JACOW","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Sawtooth wave; Computer science; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002626539,0.00008962248,0.0001185197,0.00005011562,0.00005677857,0.0002318612,0.000130452,0.00005963743,0.000006352213],"category_scores_gemma":[0.00002046461,0.00007253252,0.0000218255,0.000122062,0.00001121615,0.0006130517,0.00003305246,0.00003908283,0.00001815846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003369728,"about_ca_system_score_gemma":0.00005169344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002468692,"about_ca_topic_score_gemma":0.00002054062,"domain_scores_codex":[0.9992116,0.00003489957,0.0001418563,0.0003102918,0.0001577351,0.0001435854],"domain_scores_gemma":[0.9993945,0.00005261425,0.0001011087,0.0003243036,0.00008535111,0.00004215916],"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":[0.00008882337,0.0001331013,0.005574762,0.0002018051,0.00006886173,0.000002309898,0.003256786,0.006995988,0.9005038,0.02921261,0.003614798,0.05034633],"study_design_scores_gemma":[0.001857941,0.0006274523,0.01112068,0.00007852793,0.00001672085,0.00003430791,0.00004870822,0.9038323,0.07483242,0.0009505983,0.00623962,0.0003607231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3844442,0.00004997226,0.6127151,0.0003519653,0.0002015127,0.000554963,6.920303e-7,0.00007171052,0.001609862],"genre_scores_gemma":[0.8826079,5.152064e-7,0.1142064,0.00006762549,0.0001662311,0.00003117758,0.000005441303,0.00001095758,0.002903729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8968363,"threshold_uncertainty_score":0.295779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059011010772563,"score_gpt":0.2133078278745974,"score_spread":0.1927177177668718,"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."}}