{"id":"W2789601376","doi":"10.1109/tdei.2018.006317","title":"Aging characterization of electrical insulation papers impregnated with synthetic ester and mineral oil: Correlations between mechanical properties, depolymerization and some chemical markers","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Électricité de France; Mitacs","keywords":"Depolymerization; Mineral oil; Kraft paper; Degree of polymerization; Cellulose; Synthetic oil; Electrical insulation paper; Materials science; Pressboard; Ultimate tensile strength; Transformer oil; Polymerization; Composite material; Polymer chemistry; Chemistry; Chemical engineering; Organic chemistry; Transformer; Polymer","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":[0.0002586668,0.0004093526,0.0002517953,0.0005027271,0.0001159418,0.0002302341,0.0001218388,0.0002623331,0.0004799091],"category_scores_gemma":[0.0004962767,0.0001350494,0.0002369873,0.0003083663,0.0001543498,0.0003172434,0.0001493672,0.0002645588,0.0001216457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092167,"about_ca_system_score_gemma":0.00007033464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002301937,"about_ca_topic_score_gemma":0.0002936269,"domain_scores_codex":[0.9998281,0.00002503088,0.00001897932,0.00003814476,0.00006168131,0.00002800039],"domain_scores_gemma":[0.9995567,0.00009494519,0.0001715535,0.00002833303,0.0001012238,0.00004714012],"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":[0.0001225785,0.00001949823,0.00209083,0.00005370179,0.0000133388,0.00007438639,0.00004639762,0.00009336508,0.9947301,0.00001065054,0.000004694774,0.002740475],"study_design_scores_gemma":[0.000002171694,0.0005562733,0.02234462,0.000007605882,0.00003970077,0.0002353109,0.00008045944,0.0004517174,0.9757624,0.000009326957,0.0005040508,0.000006404617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972547,0.0009226417,0.001532353,0.000004643928,0.000009241598,0.000007252762,0.0000610701,0.00001188283,0.0001962895],"genre_scores_gemma":[0.9958189,0.0008686419,0.002484944,0.00001119813,0.0000086537,0.00001124595,0.0001670342,0.00001495736,0.0006144983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005027271,"threshold_uncertainty_score":0.001605451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913118594223075,"score_gpt":0.1864922293788363,"score_spread":0.1785791107846132,"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."}}