{"id":"W3111166699","doi":"10.1093/rpd/ncaa186","title":"CHARACTERIZATION OF A LANTHANUM BROMIDE DETECTOR FOR EYE LENS DOSIMETRY AT THE CANDU NUCLEAR POWER PLANTS BASED ON DIRECT MEASUREMENTS OF THE GAMMA-RAY SPECTRA","year":2020,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruce Power (Canada); Ontario Power Generation; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dosimetry; Spectrometer; Equivalent dose; Detector; Nuclear engineering; Materials science; Gamma ray; Spectral line; Monte Carlo method; Radiation; Gamma spectroscopy; Physics; Optics; Nuclear physics; Environmental science; Nuclear medicine; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000259121,0.0001872109,0.0002461987,0.0001467119,0.0002906257,0.00003353229,0.0002215818,0.0001060468,0.0003423387],"category_scores_gemma":[0.0001313137,0.0001322175,0.0002168594,0.0005836178,0.00007040405,0.0001256668,0.00003036489,0.0001884657,0.00001515618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120448,"about_ca_system_score_gemma":0.00004998593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004437572,"about_ca_topic_score_gemma":0.000003321317,"domain_scores_codex":[0.9985807,0.0001455522,0.0004160461,0.0002909166,0.000385051,0.0001817602],"domain_scores_gemma":[0.9988365,0.00007762777,0.0006225606,0.0003362999,0.0000800316,0.00004703427],"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":[0.000419331,0.00009657806,0.02845857,0.0000472955,0.0001270802,5.535622e-8,0.0002706494,0.001477999,0.9622233,0.00007304926,0.0002996544,0.006506446],"study_design_scores_gemma":[0.0009244001,0.0002060779,0.05289823,0.00002887387,0.00003487433,1.793063e-7,0.00007187701,0.01354208,0.9271785,0.000008608926,0.004953923,0.0001523916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914085,0.000014754,0.004647159,0.001144008,0.0004346365,0.00146896,0.0002431869,0.0001143066,0.0005244481],"genre_scores_gemma":[0.9993919,0.000002344901,0.00003885215,0.0002207842,0.0001219354,0.0000820987,0.00001312128,0.00002973169,0.0000992662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03504482,"threshold_uncertainty_score":0.5391673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180124792268218,"score_gpt":0.2232149071121559,"score_spread":0.2014136591894737,"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."}}