{"id":"W2158969303","doi":"10.1109/mei.2003.1192031","title":"New techniques for dissolved gas-in-oil analysis","year":2003,"lang":"en","type":"article","venue":"IEEE Electrical Insulation Magazine","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Dissolved gas analysis; Petroleum engineering; Oil analysis; High voltage; Gas analysis; Engineering; Voltage; Circuit breaker; Fossil fuel; Process engineering; Computer science; Environmental science; Transformer oil; Electrical engineering; Waste management; Transformer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001481318,0.0001578682,0.0002396797,0.0004725227,0.00003465596,0.00003471582,0.00007036606,0.0001188477,0.00005748151],"category_scores_gemma":[0.00009669291,0.0001648352,0.0001228807,0.001722318,0.000007172921,0.0001583581,0.000001408318,0.0001263601,0.00001883009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205973,"about_ca_system_score_gemma":0.00002714241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001018508,"about_ca_topic_score_gemma":0.00003584027,"domain_scores_codex":[0.9989778,0.00001904181,0.0003644092,0.0001906499,0.000145465,0.0003026236],"domain_scores_gemma":[0.9995188,0.0001444028,0.00003093348,0.000146952,0.00006050869,0.00009845519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001237596,0.0003685666,0.02348774,0.000127349,0.0007263002,0.000008561105,0.000259381,0.1247177,0.1774252,0.02720456,0.00763218,0.6379187],"study_design_scores_gemma":[0.001271823,0.0001478472,0.06134402,0.00002149966,0.0003186837,0.000002088763,0.000001446042,0.7975631,0.06716181,0.008978136,0.0626014,0.0005881929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0473602,0.0004807907,0.9419274,0.0001087748,0.0002132186,0.0002552629,0.00001300907,0.0003446233,0.009296778],"genre_scores_gemma":[0.9869561,0.0002956699,0.01215079,0.00004118081,0.0001005523,0.00005123583,0.00006622562,0.00003104711,0.0003072082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9395959,"threshold_uncertainty_score":0.6721783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089556528066392,"score_gpt":0.2425113050615727,"score_spread":0.2316157397809087,"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."}}