{"id":"W2147980998","doi":"10.1109/tpwrd.2011.2157177","title":"Transformers Surveillance Following Corrosive Sulfur Remedial Procedures","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Sulfur; Copper; Transformer; Transformer oil; Mineral oil; Mercury (programming language); Waste management; Petroleum; Electromagnetic coil; Chemistry; Engineering; Inorganic chemistry; Electrical engineering; Computer science; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001033538,0.0002868947,0.0002355293,0.0002104928,0.0001475314,0.00002841017,0.0001508674,0.0001530285,0.000257837],"category_scores_gemma":[0.000004867111,0.0003029236,0.0002525921,0.000278849,0.00004844381,0.0003922991,3.368316e-7,0.0002914771,0.0001249538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351482,"about_ca_system_score_gemma":0.0000555351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004661476,"about_ca_topic_score_gemma":0.0003191762,"domain_scores_codex":[0.9986809,0.00001945529,0.0003364571,0.0002681467,0.0002750737,0.0004199288],"domain_scores_gemma":[0.9994984,0.00008234995,0.00002456831,0.0001843152,0.00006091976,0.0001494746],"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":[0.003737362,0.004922823,0.009076973,0.001369269,0.005375639,0.000846089,0.08231838,0.2638415,0.4087711,0.0007274428,0.01415501,0.2048584],"study_design_scores_gemma":[0.007783413,0.002006745,0.02877009,0.0007640969,0.0005856997,0.00008939367,0.002074315,0.02213313,0.9214655,0.0005456239,0.009332586,0.004449379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133953,0.0001457789,0.5725632,0.00002045496,0.003713163,0.000357074,0.00008405836,0.000454307,0.009266641],"genre_scores_gemma":[0.9987233,0.0005988442,0.0003508052,0.0001000926,0.00002833609,0.0000617496,0.000009982925,0.00006806097,0.00005884915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5853279,"threshold_uncertainty_score":0.9999423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336583465606982,"score_gpt":0.1997306666298195,"score_spread":0.1863648319737496,"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."}}