{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001409568,0.002760148,0.002487505,0.001363946,0.001652375,0.0004841549,0.003220655,0.003483435,0.008303306],"category_scores_gemma":[0.0004977296,0.003052389,0.001123834,0.002512663,0.003340597,0.001615992,0.0009046476,0.003754518,0.01541428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006618219,"about_ca_system_score_gemma":0.000536493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005801741,"about_ca_topic_score_gemma":0.0008143503,"domain_scores_codex":[0.9883368,0.0004676141,0.002634706,0.002875384,0.001441339,0.00424417],"domain_scores_gemma":[0.9926897,0.0006148017,0.0005526727,0.00418209,0.000791533,0.001169239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001343172,0.001861192,0.0099544,0.002054274,0.00557714,0.001964575,0.02092407,0.001530869,0.03107728,0.4349396,0.30768,0.1810935],"study_design_scores_gemma":[0.01080954,0.005271013,0.03414804,0.003180003,0.002364667,0.001543819,0.007839674,0.01918303,0.02865887,0.08236007,0.7914127,0.01322858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3479729,0.03564909,0.004005335,0.003195727,0.01258543,0.00232189,0.0007318024,0.007104356,0.5864335],"genre_scores_gemma":[0.9622061,0.003513093,0.007199498,0.0006222317,0.004900215,0.0002515687,0.0002599773,0.0006797633,0.02036755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6142332,"threshold_uncertainty_score":0.9996473,"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."}}