{"id":"W2401637386","doi":"10.1002/jssc.201600436","title":"Ultra‐trace analysis of furanic compounds in transformer/rectifier oils with water extraction and high‐performance liquid chromatography","year":2016,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada); McGill University; Muprime Technology (Canada)","funders":"","keywords":"Chromatography; High-performance liquid chromatography; Transformer; Materials science; Extraction (chemistry); TRACE (psycholinguistics); Chemistry; Engineering","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":[0.0005613447,0.001167563,0.0005486835,0.0008335877,0.0003149222,0.0004944392,0.0009286812,0.0007838629,0.0005813897],"category_scores_gemma":[0.0006265517,0.0003927471,0.0005039813,0.0005927783,0.000586736,0.0007965838,0.0006471798,0.0007462729,0.0006379526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005373425,"about_ca_system_score_gemma":0.0007157701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321818,"about_ca_topic_score_gemma":0.002622626,"domain_scores_codex":[0.9990461,0.0001224434,0.00004652637,0.0001982173,0.0005158127,0.00007076382],"domain_scores_gemma":[0.9997426,0.00005844334,0.00006802564,0.00002826035,0.0000860169,0.0000165707],"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":[0.00005596369,0.00002955555,0.0003531813,0.00007053777,0.00001340382,0.00004519807,0.00001346278,0.0001195705,0.9873137,0.00009543105,0.00004185551,0.01184813],"study_design_scores_gemma":[0.000005350617,0.0001594858,0.0007271418,0.000007626854,0.00001985248,0.0002547643,0.0000170799,0.002012921,0.9954608,0.00009765679,0.001224415,0.00001292972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4872482,0.007361783,0.4993161,0.0002343558,0.0001517521,0.0003403771,0.0005784877,0.001280485,0.003488438],"genre_scores_gemma":[0.7488247,0.005167591,0.2385457,0.0002918226,0.00005244926,0.0003535751,0.0007302315,0.0001368946,0.005897062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001321818,"threshold_uncertainty_score":0.00389868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008220031512649453,"score_gpt":0.2477242255528206,"score_spread":0.2395041940401712,"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."}}