{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.002021601,0.001446577,0.00170252,0.0007379255,0.01035859,0.002721274,0.005574481,0.0006834214,0.003050265],"category_scores_gemma":[0.0005606738,0.0009821453,0.001523856,0.002004344,0.003930105,0.002577948,0.001824875,0.001771342,0.0006877455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008986435,"about_ca_system_score_gemma":0.001068939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386183,"about_ca_topic_score_gemma":0.006584846,"domain_scores_codex":[0.9890828,0.001056755,0.001351004,0.002694376,0.001944367,0.003870766],"domain_scores_gemma":[0.9932542,0.0007579878,0.002282275,0.001748737,0.0006173888,0.001339369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004657834,0.004039638,0.05028886,0.000726139,0.002506276,0.000894122,0.004410665,0.0006459364,0.3725697,0.2039684,0.09582011,0.2594723],"study_design_scores_gemma":[0.008498671,0.006495714,0.251553,0.001033235,0.0009931019,0.0001695028,0.006456092,0.00808871,0.02156701,0.01559051,0.6738067,0.005747725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489453,0.001843902,0.0002383704,0.005006261,0.004913077,0.001679072,0.0008561324,0.0002936872,0.03622415],"genre_scores_gemma":[0.9135078,0.0006390559,0.0002532511,0.0002197253,0.001016973,0.000006172048,0.0004460076,0.00003448157,0.08387654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5779866,"threshold_uncertainty_score":0.9998284,"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."}}