{"id":"W2910725705","doi":"10.17122/ngdelo-2017-2-197-202","title":"ПОВЫШЕНИЕ ПОЖАРНОЙ БЕЗОПАСНОСТИ МАГИСТРАЛЬНЫХ НЕФТЕПРОВОДОВ ПУТЕМ СОВЕРШЕНСТВОВАНИЯ КАТОДНОЙ ЗАЩИТЫ","year":2017,"lang":"ru","type":"article","venue":"Нефтегазовое дело","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Hazardous waste; Product (mathematics); Environmental science; Russian federation; Engineering; Forensic engineering; Production (economics); Petroleum industry; Risk analysis (engineering); Waste management; Environmental engineering; Business","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001558853,0.001877754,0.001948231,0.0004542781,0.001814651,0.001608812,0.003322848,0.00154737,0.002718325],"category_scores_gemma":[0.002627946,0.001988209,0.001033624,0.000412228,0.0008022065,0.0009526184,0.001050687,0.002452332,0.00505416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188279,"about_ca_system_score_gemma":0.0003140523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033289,"about_ca_topic_score_gemma":0.0003538304,"domain_scores_codex":[0.9917538,0.0001462951,0.001822747,0.001884494,0.001279339,0.003113344],"domain_scores_gemma":[0.9905916,0.0007761776,0.0006437204,0.006121888,0.0004240156,0.001442563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005291724,0.004616284,0.1176665,0.01412092,0.006719883,0.003556725,0.005958504,0.2277277,0.01875523,0.04353133,0.4152292,0.1415885],"study_design_scores_gemma":[0.004888556,0.0007266554,0.3004742,0.002410341,0.001161475,0.0001312011,0.0002394909,0.08654324,0.00959595,0.004237818,0.583472,0.006119144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5952792,0.03188874,0.01782553,0.00968328,0.07120946,0.005195935,0.001837718,0.005052058,0.2620281],"genre_scores_gemma":[0.9775051,0.005339572,0.003292618,0.0002709777,0.004662481,0.0001721158,0.0001200952,0.0005867979,0.008050183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.382226,"threshold_uncertainty_score":0.999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008296845059040483,"score_gpt":0.2258290384728659,"score_spread":0.2175321934138254,"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."}}