{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006850417,0.0003125854,0.0002967264,0.001628419,0.0009431945,0.002317654,0.0003930975,0.0007516465,0.01374161],"category_scores_gemma":[0.001499091,0.0005116989,0.0005125695,0.001309417,0.001454226,0.000991061,0.0009008728,0.000862422,0.005996844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008084083,"about_ca_system_score_gemma":0.001625507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004178346,"about_ca_topic_score_gemma":0.005049593,"domain_scores_codex":[0.9990957,0.0001213608,0.00005240828,0.0001617495,0.0004836983,0.00008514291],"domain_scores_gemma":[0.9992973,0.0001210996,0.0001526207,0.000115469,0.0002647039,0.00004888505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002231315,0.0001192467,0.006068404,0.0007332573,0.00007464958,0.001720501,0.002338607,0.004893688,0.1268695,0.3566449,0.010138,0.490176],"study_design_scores_gemma":[0.00005739017,0.0002726355,0.01907921,0.0002493809,0.0001265429,0.00350352,0.001288685,0.005995105,0.06064445,0.1058154,0.8028102,0.0001573888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2038887,0.02492445,0.3387977,0.004033063,0.001718969,0.000378562,0.002032455,0.001121519,0.4231046],"genre_scores_gemma":[0.7478085,0.0164146,0.1544208,0.000250336,0.0004020676,0.0003467055,0.0006618691,0.000340951,0.07935424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01374161,"threshold_uncertainty_score":0.04597026,"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."}}