{"id":"W4394936028","doi":"10.1109/tns.2024.3380922","title":"2023 IEEE Nuclear and Space Radiation Effects Conference Awards: Comments by the Chair","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Sandia National Laboratories; Università degli Studi di Padova; Goddard Space Flight Center; Office National d'études et de Recherches Aérospatiales; Centre National d’Etudes Spatiales; Jet Propulsion Laboratory; Jyväskylän Yliopisto; U.S. Naval Research Laboratory; Université de Montpellier; CERN; Office of Naval Research; TRIUMF; National Aeronautics and Space Administration","keywords":"Space radiation; Nuclear radiation; Radiation; Space (punctuation); Electrical engineering; Physics; Nuclear engineering; Engineering; Nuclear physics; Computer science; Operating system; Cosmic ray","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000666729,0.0002430347,0.0002106849,0.0003434337,0.001468015,0.0006160445,0.0006626513,0.0001138338,0.000222782],"category_scores_gemma":[0.00003254355,0.000191324,0.00006961219,0.001106244,0.001831972,0.0006055438,0.00001449339,0.000385593,0.001156955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409488,"about_ca_system_score_gemma":0.00005681159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007241072,"about_ca_topic_score_gemma":0.00001275254,"domain_scores_codex":[0.9978825,0.00009931475,0.0002344265,0.0007038884,0.0006021484,0.0004776833],"domain_scores_gemma":[0.9990017,0.0002283607,0.00007601313,0.0004924437,0.00006141813,0.0001400306],"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":[0.00004281033,0.0001787394,0.00001483785,0.00009280294,0.00005052081,0.00001301957,0.004084506,0.0006077584,0.9176407,0.003923521,0.02720358,0.04614718],"study_design_scores_gemma":[0.002836106,0.002348507,0.005505948,0.0007999216,0.0004062238,0.0003188782,0.00728406,0.3864822,0.3180176,0.00189827,0.2712736,0.002828651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984638,0.0003359908,0.002553492,0.00765291,0.002793214,0.000515856,0.0001036476,0.0008529437,0.0005539886],"genre_scores_gemma":[0.9980786,0.0004341949,0.0003303683,0.0007611791,0.00003168572,0.00002481547,2.197104e-7,0.00004030644,0.0002986424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5996231,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067668440717082,"score_gpt":0.2460595591660736,"score_spread":0.2353828747589028,"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."}}