{"id":"W2154465989","doi":"10.1109/tns.2002.805368","title":"Gamma enhancement of proton-induced SEE cross section in a CMOS SRAM","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"TRIUMF","keywords":"Proton; Static random-access memory; CMOS; Irradiation; Physics; Cross section (physics); Random access memory; Nuclear physics; Materials science; Radiochemistry; Electrical engineering; Optoelectronics; Engineering; Chemistry; Computer science; Computer hardware","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002577236,0.0001104128,0.0001099535,0.0002838597,0.000132271,0.00004545211,0.0002235292,0.00006294218,0.0002463328],"category_scores_gemma":[0.000006723743,0.0001221399,0.00004040192,0.001031208,0.0001211172,0.0003864465,8.140812e-7,0.0002668993,0.00009777281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842841,"about_ca_system_score_gemma":0.00002392732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002034064,"about_ca_topic_score_gemma":0.00002017908,"domain_scores_codex":[0.9988921,0.00001970305,0.0002181577,0.0002233336,0.0003353347,0.0003113162],"domain_scores_gemma":[0.9995812,0.00002742643,0.00003357409,0.0002560447,0.00004310496,0.00005863232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007076638,0.0001067111,0.000004507255,0.00003221032,0.000004803382,7.889381e-7,0.0006615177,0.8257458,0.1599706,0.00001695563,0.00001398988,0.01343506],"study_design_scores_gemma":[0.0002269059,0.0001652797,0.0001806108,0.00002170116,0.000002486672,0.000003329485,0.00001610579,0.7420645,0.2569504,0.0000065559,0.0002625825,0.00009954782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814004,0.000009835549,0.01579147,0.00002957186,0.0006589899,0.0004845966,0.000001996528,0.0001499044,0.001473185],"genre_scores_gemma":[0.9994342,0.00002601854,0.0003483127,0.00001952655,0.00001840198,0.00006317447,2.797767e-8,0.0000216244,0.0000687611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09697988,"threshold_uncertainty_score":0.498072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210221463045209,"score_gpt":0.239689066302411,"score_spread":0.227586851671959,"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."}}