{"id":"W4390887070","doi":"10.1088/1748-0221/19/01/p01012","title":"CRaTeBo: a high-speed, radiation-tolerant and versatile testing platform for FPGA radiation qualification for high-energy particle accelerator applications","year":2024,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; TRIUMF","keywords":"Field-programmable gate array; Large Hadron Collider; Radiation; Electronics; Interface (matter); Particle accelerator; Computer science; Embedded system; Physics; Electrical engineering; Operating system; Nuclear physics; Engineering; Beam (structure); Optics","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":[0.0007229586,0.0008666409,0.0004378285,0.0009671298,0.0003001624,0.0006653154,0.001409918,0.0004916823,0.01642839],"category_scores_gemma":[0.001292395,0.0003876684,0.0002490662,0.000368395,0.0004408014,0.0007488771,0.0007589296,0.0006046871,0.004789466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190235,"about_ca_system_score_gemma":0.0007250065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483139,"about_ca_topic_score_gemma":0.001841095,"domain_scores_codex":[0.9992906,0.00009272064,0.00002125673,0.00009398375,0.0003840275,0.0001173891],"domain_scores_gemma":[0.9990168,0.0001443146,0.0001956834,0.0002090318,0.0003172063,0.0001169778],"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":[0.002615385,0.000329897,0.006902848,0.001000187,0.0001180423,0.001243332,0.0002958484,0.01691316,0.6839445,0.005478954,0.04626605,0.2348919],"study_design_scores_gemma":[0.0006438686,0.003235126,0.02403513,0.0002556765,0.0001111484,0.003629948,0.0001266312,0.08221373,0.7162487,0.0009913627,0.1682508,0.000257841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3458819,0.002169822,0.523618,0.0004485298,0.0004289719,0.001104499,0.002799749,0.08070436,0.04284405],"genre_scores_gemma":[0.8398775,0.0003900901,0.1251548,0.0002354241,0.00006626119,0.000396541,0.002615252,0.005245245,0.02601892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01642839,"threshold_uncertainty_score":0.0549584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591717500586923,"score_gpt":0.2600924704003726,"score_spread":0.2441752953945034,"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."}}