{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000572201,0.00009445532,0.0001336131,0.0001784308,0.00003364606,0.00001130236,0.0000512508,0.00009907885,0.00003309403],"category_scores_gemma":[0.000007200456,0.0000974975,0.00003256744,0.0002535528,0.00001787024,0.0002445118,0.000002731978,0.00005946774,0.000007526803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000290542,"about_ca_system_score_gemma":0.00001123844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001865204,"about_ca_topic_score_gemma":0.00001116488,"domain_scores_codex":[0.9994428,0.000006089583,0.0002353758,0.00009029987,0.0001019623,0.0001235405],"domain_scores_gemma":[0.9997846,0.00001884565,0.00002381763,0.0001149636,0.00004360365,0.00001415068],"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":[0.000001868191,0.00000399987,0.0007420114,0.00003338223,0.0000108226,9.421323e-8,0.0001217638,0.4626744,0.5318085,0.003360289,0.000003632048,0.001239249],"study_design_scores_gemma":[0.0001838837,0.00002514509,0.0005716778,0.00003293016,0.00001064766,0.000001449369,0.00004675735,0.3225428,0.675742,0.0001957019,0.0005571826,0.00008979637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761386,0.0003935715,0.01901044,0.00002337397,0.0003131498,0.000108701,0.000005500051,0.000128588,0.00387807],"genre_scores_gemma":[0.9970146,0.0001713938,0.002696091,0.000004855517,0.00003375667,0.000005388531,0.00002738824,0.00001936805,0.00002712996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1439335,"threshold_uncertainty_score":0.3975832,"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."}}