{"id":"W4386895084","doi":"10.1002/cjce.25096","title":"Extractive denitrogenization of liquid model fuel using polyethylene glycol methyl ether 350","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quinoline; Polyethylene glycol; Extraction (chemistry); PEG ratio; Chemistry; Hexane; Nitrogen; Ether; Indole test; Organic chemistry; Liquid–liquid extraction; Chromatography; Polymer; Nuclear chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008085854,0.0002858042,0.0001501831,0.0001371935,0.00008997229,0.0001016188,0.0001173231,0.0001068177,0.0005551124],"category_scores_gemma":[0.0001094738,0.00005422603,0.0001118792,0.0001024234,0.0001012865,0.0002236529,0.0001148115,0.0001652621,0.0001527163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366955,"about_ca_system_score_gemma":0.000140052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215469,"about_ca_topic_score_gemma":0.002685811,"domain_scores_codex":[0.9999472,0.000007527706,0.000001924155,0.00001252343,0.0000192269,0.00001167105],"domain_scores_gemma":[0.9999684,0.00001146501,0.000007327259,0.000002532634,0.000006686386,0.000003592369],"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":[0.00003113685,0.000006837284,0.00008821079,0.00002564592,0.000002073953,0.00002195298,0.000008879302,0.00006423809,0.9981009,0.00002604084,0.000006794247,0.001617343],"study_design_scores_gemma":[0.000001061456,0.0000513539,0.000412557,0.000001726373,0.000002643269,0.00001949719,0.000006441169,0.0003663255,0.9985709,0.000007107878,0.0005591901,0.000001252079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935201,0.0009141172,0.004121603,0.00002358296,0.000008627911,0.00001543889,0.00008281986,0.00002837449,0.001285371],"genre_scores_gemma":[0.9928358,0.0007960585,0.003495015,0.00002673991,0.000004472021,0.000008741717,0.0002208185,0.00001828766,0.002594006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001215469,"threshold_uncertainty_score":0.00241679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035305623969539,"score_gpt":0.2248445479410001,"score_spread":0.2044914917013047,"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."}}