{"id":"W3038300074","doi":"10.3390/en13133472","title":"Gassing Tendency of Fresh and Aged Mineral Oil and Ester Fluids under Electrical and Thermal Fault Conditions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Dissolved gas analysis; Mineral oil; Fault (geology); Degradation (telecommunications); Transformer oil; Electric arc; Partial discharge; Materials science; Environmental science; Petroleum engineering; Chemistry; Transformer; Geology; Metallurgy; Electrical engineering; Engineering; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001990831,0.00006815826,0.00008722739,0.00002878786,0.00003463763,0.00002716499,0.00001732927,0.00003662076,0.00001020207],"category_scores_gemma":[0.00001345598,0.00006232075,0.00001085531,0.00004944704,0.00004669834,0.0001110291,0.000007966264,0.000056802,2.395931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003965688,"about_ca_system_score_gemma":0.000004878196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187121,"about_ca_topic_score_gemma":0.000007837411,"domain_scores_codex":[0.999685,0.000008608067,0.00009434641,0.00007383837,0.00005146405,0.00008668234],"domain_scores_gemma":[0.9998496,0.00005832611,0.000007649915,0.00002990192,0.000009743797,0.00004478807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001129325,0.00001625074,0.008683386,0.0001170135,0.00006485271,0.000004838773,0.001782487,0.01605058,0.9594962,0.004460056,0.0006105315,0.008702477],"study_design_scores_gemma":[0.001655128,0.0002047345,0.7231618,0.00009403275,0.0001125144,0.00001716865,0.0003828661,0.2107291,0.06111357,0.0009048196,0.001149474,0.000474784],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963093,0.001355864,0.0009399,0.0002298849,0.0000336016,0.00001258495,0.00001301202,0.00003690579,0.001068963],"genre_scores_gemma":[0.9988654,0.0005950104,0.000394481,0.00006891909,0.00003409785,0.000002686336,0.00001075304,0.0000094441,0.00001916656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8983827,"threshold_uncertainty_score":0.2541367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009955982285655751,"score_gpt":0.2094956499308054,"score_spread":0.1995396676451496,"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."}}