{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001020998,0.0005923451,0.0006195752,0.0001378245,0.0003147035,0.0001994976,0.0002758334,0.0003429355,0.0004842958],"category_scores_gemma":[0.00003564977,0.0005478422,0.000216041,0.0004093832,0.0003099153,0.0003539684,0.0001443811,0.0006520691,0.000008092208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008987763,"about_ca_system_score_gemma":0.00008373186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002735862,"about_ca_topic_score_gemma":0.0001657524,"domain_scores_codex":[0.9971774,0.00004940858,0.0006360367,0.0008506055,0.0005139544,0.0007726022],"domain_scores_gemma":[0.9985018,0.0002776654,0.0002980233,0.0003381103,0.0001943516,0.0003900756],"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":[0.0001871546,0.0002340201,0.05820702,0.0001060114,0.0003782276,0.00003023314,0.00009651125,0.0001426066,0.9362118,0.000223085,0.0002311707,0.003952201],"study_design_scores_gemma":[0.003105938,0.0001420091,0.0004109202,0.0002833655,0.0001262003,0.00007304057,0.0009857577,0.001234494,0.9904532,0.0007405172,0.00171466,0.0007298615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947203,0.003834965,0.000112511,0.00008891258,0.00009123934,0.0001429162,0.00007386719,0.0001628746,0.0007724488],"genre_scores_gemma":[0.9986693,0.0001058044,0.0002625541,0.0001946724,0.0002005578,0.0001377695,0.0002977585,0.00006925661,0.00006236012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0577961,"threshold_uncertainty_score":0.9996973,"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."}}