{"id":"W2130775280","doi":"10.1109/tdei.2012.6396946","title":"Unusual ethylene production of in-service transformer oil at low temperature","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Centre for Energy Advancement through Technological Innovation","keywords":"Transformer oil; Hydrocarbon; Oxygen; Hydrogen; Waste management; Carbon dioxide; Petroleum engineering; Ethylene; Transformer; Dissolved gas analysis; Chemistry; Environmental science; Chemical engineering; Materials science; Electrical engineering; Organic chemistry; Catalysis; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007793826,0.0001860855,0.0001393668,0.0002398002,0.000171527,0.0002241734,0.0001766193,0.00016296,0.0008093054],"category_scores_gemma":[0.000200423,0.00008564915,0.0001040753,0.00015946,0.0002108189,0.0002227863,0.0001460727,0.000232014,0.0001595881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491151,"about_ca_system_score_gemma":0.00008612228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005084882,"about_ca_topic_score_gemma":0.0006575063,"domain_scores_codex":[0.999911,0.00001072303,0.000003527714,0.00001918608,0.00003283173,0.00002276149],"domain_scores_gemma":[0.9998881,0.00003006311,0.00002398893,0.00001217909,0.00002925625,0.00001648045],"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":[0.0001208651,0.000009138159,0.001301811,0.00002968958,0.000003301253,0.0002299309,0.00007999424,0.00009862456,0.9968632,0.00007875043,0.00002647992,0.001158139],"study_design_scores_gemma":[0.000003368423,0.00009739706,0.003938231,0.000001855525,0.000005251669,0.0002374833,0.00003988116,0.000852479,0.9943558,0.00003667615,0.0004288154,0.000002857528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961292,0.0002145125,0.002581202,0.00002379536,0.000007214585,0.00000501978,0.00009773522,0.00003004392,0.0009113205],"genre_scores_gemma":[0.9988599,0.00007650493,0.0004272567,0.000003731805,0.000002517382,0.000001827473,0.00006444922,0.000008378589,0.0005554761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008093054,"threshold_uncertainty_score":0.002707422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034182059845479,"score_gpt":0.2180172179949141,"score_spread":0.2076753973964593,"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."}}