{"id":"W2073704775","doi":"10.1016/j.chroma.2013.03.040","title":"A novel derivatization-based liquid chromatography tandem mass spectrometry method for quantitative characterization of naphthenic acid isomer profiles in environmental waters","year":2013,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; AXYS Technologies (Canada)","funders":"","keywords":"Chemistry; Chromatography; Derivatization; Mass spectrometry; Elution; Electrospray ionization; Tandem mass spectrometry; Reagent; Extraction (chemistry); Solid phase extraction; Electrospray; Selected reaction monitoring; Organic chemistry","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":[0.0004325805,0.0009460601,0.0006004712,0.0008171627,0.0006484474,0.0003958479,0.0009628168,0.001085014,0.0008858833],"category_scores_gemma":[0.0004476031,0.0005952201,0.0004447779,0.0004045403,0.0004976518,0.0007913143,0.0006122677,0.001251785,0.0008716746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951198,"about_ca_system_score_gemma":0.001071166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767295,"about_ca_topic_score_gemma":0.005929347,"domain_scores_codex":[0.9993333,0.00006405425,0.00002687661,0.0001958946,0.0003402614,0.00003955005],"domain_scores_gemma":[0.99978,0.0000441412,0.00003959079,0.00001918022,0.00008364506,0.00003348198],"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":[0.0000486675,0.00003321923,0.000273686,0.00005266108,0.00002238883,0.00004670494,0.00001016091,0.00006145875,0.9916363,0.00007150789,0.0001118571,0.007631419],"study_design_scores_gemma":[0.00001956201,0.0001682977,0.002781117,0.0000071274,0.00004963929,0.0007594713,0.00001625826,0.004048223,0.9881918,0.00009435732,0.003824226,0.00003995253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4416745,0.01247594,0.5328486,0.0009628973,0.000663699,0.0008108223,0.001965977,0.002587101,0.006010449],"genre_scores_gemma":[0.605145,0.007364441,0.3686672,0.001517051,0.0002184802,0.000696569,0.001695909,0.0001828389,0.01451245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001767295,"threshold_uncertainty_score":0.005043507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009568319817848687,"score_gpt":0.2445970931746893,"score_spread":0.2350287733568406,"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."}}