{"id":"W2951245865","doi":"10.24411/0235-2451-2018-11021","title":"Современные методы идентификации свинины, обработанной ионизирующим излучением","year":2018,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.003219069,0.0008821166,0.0007025948,0.002752942,0.003648302,0.01245634,0.001547797,0.002835428,0.05043841],"category_scores_gemma":[0.01075728,0.0009152946,0.0009371185,0.002581944,0.006267309,0.007628741,0.004158751,0.00355179,0.01983457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004275195,"about_ca_system_score_gemma":0.008459362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006090751,"about_ca_topic_score_gemma":0.006121713,"domain_scores_codex":[0.9940101,0.001403631,0.0003176745,0.001090897,0.002662333,0.0005153455],"domain_scores_gemma":[0.9939282,0.001444514,0.0006507777,0.001270475,0.002137939,0.0005681762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008760035,0.00006928701,0.002009588,0.0005306609,0.00004838784,0.0004255264,0.003477566,0.001240446,0.005287738,0.8675237,0.02027156,0.09902789],"study_design_scores_gemma":[0.00003737878,0.00006760553,0.003309613,0.0005287725,0.00006950513,0.0006646134,0.003532972,0.001922275,0.006936819,0.270338,0.7124699,0.0001226395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03102007,0.01308452,0.1150996,0.01815751,0.002218414,0.0003012685,0.001236542,0.0008456701,0.8180364],"genre_scores_gemma":[0.5556357,0.02014987,0.1350031,0.003159891,0.001289748,0.001132081,0.001439881,0.001147759,0.281042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05043841,"threshold_uncertainty_score":0.1687333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091205420456035,"score_gpt":0.2235818942556221,"score_spread":0.2126698400510617,"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."}}