{"id":"W2912629316","doi":"10.3390/en12030368","title":"Regeneration of Transformer Insulating Fluids Using Membrane Separation Technology","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Membrane; Transformer oil; Materials science; Filtration (mathematics); Membrane technology; Chromatography; Fourier transform infrared spectroscopy; Chemical engineering; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424436,0.0003355978,0.0002932506,0.0004992406,0.0003132528,0.0004493463,0.0003489708,0.0004212959,0.0005616741],"category_scores_gemma":[0.0002259931,0.0001135929,0.0003917196,0.0002909648,0.000231102,0.0009354276,0.0003510823,0.0004484378,0.0004676291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470074,"about_ca_system_score_gemma":0.0002889834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005587432,"about_ca_topic_score_gemma":0.0007378918,"domain_scores_codex":[0.9998041,0.00003012963,0.00001602667,0.00003660227,0.00008364786,0.00002954716],"domain_scores_gemma":[0.999902,0.00001576625,0.00002762968,0.000009650849,0.00003648823,0.000008429292],"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":[0.00003689505,0.00001905165,0.0001919705,0.0001204378,0.000005403606,0.00008722526,0.00002942119,0.0001604596,0.9864689,0.0002438125,0.00006325392,0.01257309],"study_design_scores_gemma":[0.000003668121,0.000085575,0.0003558473,0.000006445039,0.000009109128,0.0002241887,0.00002154623,0.00157134,0.9945695,0.00007478255,0.003072757,0.000005256642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787662,0.00986634,0.1967131,0.0003935396,0.0001962338,0.0001288438,0.0001665824,0.0006329119,0.004240276],"genre_scores_gemma":[0.9518282,0.002990026,0.04164476,0.00009584164,0.00002982894,0.0000304085,0.0001119935,0.00003341906,0.003235336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005616741,"threshold_uncertainty_score":0.0025177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559501827966696,"score_gpt":0.2308677158505638,"score_spread":0.2223082140225972,"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."}}