{"id":"W2810292709","doi":"10.21603/2308-4057-2017-2-162-169","title":"USE OF THE METHOD OF ELECTRON PARAMAGNETIC RESONANCE FOR DETERMINATION OF ABSORBED DOSES OF IONIZING RADIATION OF DIFFERENT TYPES OF MEAT AND FISH RAW MATERIALS","year":2017,"lang":"en","type":"article","venue":"Foods and raw materials","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ionizing radiation; Absorbed dose; Fish <Actinopterygii>; Electron paramagnetic resonance; Chemistry; Food science; Radiation dose; Radiochemistry; Dosimetry; Irradiation; Nuclear magnetic resonance; Nuclear medicine; Medicine; Biology; Fishery; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003316292,0.00007190491,0.0003653312,0.0000144672,0.00005424622,0.00002021788,0.00009571634,0.00006362949,0.00002016623],"category_scores_gemma":[0.0002026353,0.00002765325,0.00003948237,0.00003526572,0.0001078282,0.00008063371,0.00003553777,0.000009729725,1.075725e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002312479,"about_ca_system_score_gemma":0.000004138615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991132,"about_ca_topic_score_gemma":0.00004263,"domain_scores_codex":[0.9992132,0.0001461798,0.0003803638,0.00009629888,0.00009431838,0.00006969683],"domain_scores_gemma":[0.9986535,0.0003138421,0.000857549,0.00008119275,0.00008105631,0.00001289413],"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":[0.0001593562,0.0000336435,0.001803809,0.0002168016,0.00001006668,1.200339e-8,0.00006392982,0.000001857723,0.9870262,0.0004714217,0.000007532042,0.01020535],"study_design_scores_gemma":[0.0001539457,0.0003516066,0.367235,0.00006869261,0.00002581753,2.008004e-7,0.000007059329,0.00002228904,0.6317422,0.0003541927,0.00001129395,0.00002759906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990891,0.0001775724,0.00001807782,0.00005484494,0.00009109513,0.0002969699,0.0002661615,0.000001614356,0.000004547876],"genre_scores_gemma":[0.9993656,0.0002434772,0.0003258667,0.000004324034,0.00002662474,0.000005109539,0.00001429823,0.000001111771,0.00001362264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3654312,"threshold_uncertainty_score":0.1127667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627093997012632,"score_gpt":0.2745941046525675,"score_spread":0.2483231646824412,"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."}}