{"id":"W6988453094","doi":"","title":"Применение когерентного супергетеродинного спектрометра электронного парамагнитного резонанса в составе дозиметрической системы «labrador-dose» для измерения доз ионизирующего излучения","year":2017,"lang":"ru","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Product (mathematics); Ionizing radiation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052698,0.0003603284,0.0004305011,0.001951875,0.0009909449,0.002689224,0.0005664393,0.0009154284,0.01903178],"category_scores_gemma":[0.002900272,0.0005262167,0.0003753248,0.001735212,0.001801991,0.001931494,0.001089363,0.001339023,0.004460316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101906,"about_ca_system_score_gemma":0.001227455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090518,"about_ca_topic_score_gemma":0.002217631,"domain_scores_codex":[0.9986707,0.0002098389,0.00006680623,0.0003197007,0.0006286249,0.0001043759],"domain_scores_gemma":[0.9985895,0.0004958279,0.0002079223,0.0003062299,0.0003277322,0.00007274035],"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":[0.0002979755,0.0001120109,0.003337114,0.000871547,0.00006885177,0.001166347,0.002746047,0.002756614,0.3884324,0.2983139,0.004886174,0.2970111],"study_design_scores_gemma":[0.00007995282,0.000338972,0.01345738,0.0002910038,0.0001835235,0.003882448,0.002620369,0.006352196,0.2246809,0.1352065,0.6126345,0.0002722837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2180027,0.02820367,0.428456,0.004740416,0.00285915,0.0002988651,0.001793713,0.001245769,0.3143997],"genre_scores_gemma":[0.7015046,0.01427026,0.2306487,0.0003056982,0.000792434,0.0003966709,0.0005855549,0.0005900253,0.05090606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01903178,"threshold_uncertainty_score":0.0636676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241524185624639,"score_gpt":0.2101856319714163,"score_spread":0.1977703901151699,"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."}}