{"id":"W2163764596","doi":"10.1093/chromsci/45.10.664","title":"Capillary Flow Technology with Multi-Dimensional Gas Chromatography for Trace Analysis of Oxygenated Compounds in Complex Hydrocarbon Matrices","year":2007,"lang":"en","type":"article","venue":"Journal of Chromatographic Science","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Chemistry; Chromatography; Hydrocarbon; Capillary action; Detection limit; Analytical Chemistry (journal); Gas chromatography; Methanol; Correlation coefficient; Propanol; Volumetric flow rate; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001610402,0.000382029,0.001127046,0.005609045,0.000222689,0.00005295389,0.001147373,0.0002786541,0.00008538678],"category_scores_gemma":[0.0001121812,0.0003068644,0.0007171691,0.01793121,0.002485018,0.0003321112,0.00008064058,0.00044929,3.229632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000754022,"about_ca_system_score_gemma":0.0002685062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898038,"about_ca_topic_score_gemma":0.00009124866,"domain_scores_codex":[0.9959021,0.00001819613,0.00148947,0.0005351478,0.001275089,0.0007800648],"domain_scores_gemma":[0.9967481,0.0003155611,0.001275324,0.0004880127,0.0008249729,0.0003479614],"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":[0.0003814867,0.0008206234,0.2033385,0.0002837184,0.001110797,0.0001425454,0.0001445043,0.001297982,0.7918455,0.0003025587,0.00004619199,0.0002855741],"study_design_scores_gemma":[0.007237673,0.0007400102,0.1512985,0.0007575229,0.002949119,0.001335693,0.002269175,0.09345436,0.7370846,0.001265386,0.0003537224,0.001254248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954758,0.001306478,0.002416089,0.0001081171,0.00003772508,0.0001048763,0.00002461267,0.0000511283,0.0004751743],"genre_scores_gemma":[0.9773014,0.00006537325,0.02252432,0.00002993483,0.00003466867,0.000004828702,0.00001273135,0.00002344176,0.000003329825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09215638,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338867775548497,"score_gpt":0.2666288705220523,"score_spread":0.2532401927665673,"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."}}