{"id":"W4409058117","doi":"10.1109/tns.2025.3553065","title":"Pre-Irradiation Influence on Proton Radioluminescence Responses of Sol-Gel Optical Fibers","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"European Regional Development Fund; National Research Council Canada; Agence Nationale de la Recherche","keywords":"Radioluminescence; Irradiation; Proton; Materials science; Optical fiber; Optoelectronics; Radiochemistry; Optics; Nuclear physics; Physics; Detector; Chemistry","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":[0.000237191,0.0001193931,0.0001352109,0.0004413657,0.0003787532,0.00007353949,0.0003578977,0.000046584,0.00005862656],"category_scores_gemma":[0.00003291215,0.0001130849,0.00007505873,0.0009477452,0.0005941157,0.0003156018,0.000002984881,0.0002155082,0.00003886418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007636654,"about_ca_system_score_gemma":0.0001439414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003731038,"about_ca_topic_score_gemma":0.000001176188,"domain_scores_codex":[0.9988859,0.00002948871,0.0002350026,0.0003395316,0.0003023521,0.0002077787],"domain_scores_gemma":[0.9992676,0.0001003576,0.00008707877,0.0003776731,0.0001082183,0.00005901823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009008355,0.0009152709,0.004539985,0.00008178907,0.00008367711,0.000001624626,0.001479644,0.5767235,0.166761,0.01573969,0.0003375216,0.2324354],"study_design_scores_gemma":[0.001123668,0.0008932477,0.09970022,0.0002569235,0.00004355882,0.000002948519,0.0007929986,0.2007654,0.6927975,0.0005504513,0.002528744,0.0005442669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913505,0.000001648822,0.006222856,0.0003925821,0.0002882824,0.0003627429,0.00001026134,0.0001291248,0.001242001],"genre_scores_gemma":[0.9987397,0.000004423999,0.0006310685,0.00008525053,0.000009262924,0.00003537396,3.189944e-8,0.000006925368,0.0004879403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5260366,"threshold_uncertainty_score":0.4611468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007762880428879054,"score_gpt":0.2620501883904512,"score_spread":0.2542873079615722,"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."}}