{"id":"W2523197025","doi":"10.1002/2016sw001476","title":"Segmental interpolating spectra for solar particle events and in situ validation","year":2016,"lang":"en","type":"article","venue":"Space Weather","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Johnson Space Center; Langley Research Center; National Aeronautics and Space Administration","keywords":"Spacecraft; Cosmic ray; Satellite; Computational physics; Electromagnetic shielding; Spectral line; Radiation; Detector; Physics; Proton; Solar energetic particles; Environmental science; Remote sensing; Computer science; Optics; Nuclear physics; Geology; Astronomy","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":[0.0001397964,0.00005102563,0.00007758859,0.00003218684,0.00002048112,0.000005633292,0.00001478771,0.00003002816,0.0001037501],"category_scores_gemma":[0.00003910381,0.0000350563,0.00002327556,0.0000459375,0.00001211986,0.00008683446,0.000005898635,0.00002596503,0.0000172873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004436887,"about_ca_system_score_gemma":0.000009124175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000564927,"about_ca_topic_score_gemma":0.000009823515,"domain_scores_codex":[0.9996279,0.00001640635,0.00008596086,0.0001055081,0.00005690757,0.0001072973],"domain_scores_gemma":[0.9998062,0.00004756264,0.000028711,0.00006979665,0.000008588625,0.00003914073],"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":[0.0001900037,0.00005131813,0.3190434,0.000009833457,0.00001674591,9.488342e-7,0.0005329074,4.545874e-7,0.6721944,0.0002004772,0.00008533389,0.007674144],"study_design_scores_gemma":[0.004972417,0.0002947658,0.2073053,0.0001569555,0.0000240702,0.000009265148,0.0003684819,0.000478341,0.7840252,0.001169102,0.001075361,0.000120749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922046,0.00009396432,0.004785871,0.002192313,0.00004457489,0.0002348811,0.000002479591,0.00001823155,0.000423098],"genre_scores_gemma":[0.9971302,0.0000148515,0.001035139,0.0001443018,0.00006852143,0.00001170693,0.000001647391,0.00001084403,0.001582824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118307,"threshold_uncertainty_score":0.1429554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375685095037149,"score_gpt":0.2810490696309296,"score_spread":0.2672922186805581,"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."}}