{"id":"W2323164838","doi":"10.1021/ef4019756","title":"Profiling Alkyl Phosphates in Industrial Petroleum Samples by Comprehensive Two-Dimensional Gas Chromatography with Nitrogen Phosphorus Detection (GC × GC–NPD), Post-column Deans Switching, and Concurrent Backflushing","year":2013,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers","keywords":"Chemistry; Alkyl; Phosphorus; Gas chromatography; Chromatography; Phosphate; Nitrogen; Detection limit; Refinery; Fouling; Analytical Chemistry (journal); Organic chemistry","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":[0.0005106124,0.0006149497,0.00029296,0.000793987,0.0004164099,0.0005531135,0.0004962455,0.0005047373,0.0003917939],"category_scores_gemma":[0.0006527422,0.0003522868,0.0003308103,0.0005074217,0.0005966082,0.0006064337,0.0007538814,0.0005369625,0.0002024483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005574368,"about_ca_system_score_gemma":0.0008943114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005133695,"about_ca_topic_score_gemma":0.0156022,"domain_scores_codex":[0.9992533,0.00004535266,0.00004671629,0.0002104886,0.0003730775,0.00007105424],"domain_scores_gemma":[0.9997304,0.00006242396,0.0000527886,0.00003394593,0.0001001169,0.00002025717],"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":[0.00005137004,0.00004196316,0.001974185,0.00004706851,0.00001144012,0.00002830742,0.00006481074,0.000221727,0.9890416,0.00007016505,0.00003781631,0.008409458],"study_design_scores_gemma":[0.00000702232,0.0001610456,0.009454374,0.000006216277,0.00002150515,0.0001349327,0.00004796647,0.003427495,0.9852545,0.0001060452,0.001344411,0.00003437057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931168,0.00112606,0.06424616,0.0001082296,0.00002498811,0.0002238327,0.0008379479,0.0005988396,0.001665822],"genre_scores_gemma":[0.8121939,0.001833046,0.1820528,0.0002119721,0.00001557405,0.0002697923,0.00113165,0.00008696332,0.00220432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005133695,"threshold_uncertainty_score":0.01020759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009784638228829618,"score_gpt":0.2084809880064929,"score_spread":0.1986963497776633,"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."}}