{"id":"W2515791858","doi":"10.1063/1.4962587","title":"“Labrador-Dose” dosimetry system based on a coherent superheterodyne ESR spectrometer","year":2016,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrometer; Dosimetry; Superheterodyne receiver; Ionizing radiation; Physics; Detector; Radiation; Optics; Nuclear physics; Nuclear medicine; Microwave; Irradiation; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002966325,0.0002723589,0.0002866612,0.00005293926,0.0001713334,0.0002089713,0.0003603167,0.0001405757,0.001180496],"category_scores_gemma":[0.0001010935,0.00008623092,0.0001285627,0.0003961087,0.00007375573,0.0002682832,0.00004719018,0.0001254955,0.000355388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001213727,"about_ca_system_score_gemma":0.00001616952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006794368,"about_ca_topic_score_gemma":0.0000123012,"domain_scores_codex":[0.9982727,0.00003056425,0.0002739556,0.0005552987,0.0004144392,0.0004530161],"domain_scores_gemma":[0.9991726,0.0002667779,0.0001355655,0.00007332731,0.000138841,0.0002128405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001068722,0.0001347163,0.05834584,0.00004277902,0.00001975561,0.000003170352,0.00004996172,1.443445e-7,0.8744848,0.003406296,0.001188814,0.06221683],"study_design_scores_gemma":[0.0019009,0.00399178,0.9017509,0.0008829319,0.00006527908,0.00002356103,0.0005252229,0.01062993,0.07036541,0.0003508195,0.008250432,0.001262893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895824,0.00001818517,0.000134529,0.002285589,0.0001890341,0.0003618118,0.00003624323,0.0002647332,0.00712753],"genre_scores_gemma":[0.9986798,0.000006989946,0.00007337389,0.0005169351,0.0002896322,0.00005654891,0.000009260089,0.00000322343,0.0003642098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.843405,"threshold_uncertainty_score":0.9997326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515090120499003,"score_gpt":0.209803120084964,"score_spread":0.1946522188799739,"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."}}