{"id":"W2005181142","doi":"10.1080/10406630490468450","title":"DEVELOPMENT OF AN ISOTOPE-DILUTION GAS CHROMATOGRAPHIC-MASS SPECTROMETRIC METHOD FOR THE ANALYSIS OF POLYCYCLIC AROMATIC COMPOUNDS IN ENVIRONMENTAL MATRICES","year":2004,"lang":"en","type":"article","venue":"Polycyclic aromatic compounds","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Isotope dilution; Chemistry; Analyte; Sample preparation; Chromatography; Calibration; Gas chromatography; Extraction (chemistry); Gas chromatography–mass spectrometry; Calibration curve; Mass spectrometry; Analytical Chemistry (journal); Dilution; Environmental chemistry; Isotope analysis; Detection limit","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":[0.001620327,0.0008096748,0.0007770468,0.001418367,0.000549792,0.000503898,0.001232912,0.001600343,0.0008531623],"category_scores_gemma":[0.001475294,0.0004937294,0.0004863418,0.0007199198,0.0006264873,0.0007582721,0.0005590463,0.00142687,0.001091309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006041515,"about_ca_system_score_gemma":0.001430883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346954,"about_ca_topic_score_gemma":0.003675407,"domain_scores_codex":[0.9985468,0.0002495356,0.00006911006,0.0002940186,0.0007858335,0.00005460543],"domain_scores_gemma":[0.9991795,0.0002228632,0.00006831144,0.00006822504,0.000382983,0.00007805788],"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":[0.00005079425,0.00007217818,0.0006861793,0.0001416559,0.00002025259,0.00005570034,0.0000212027,0.0003778322,0.9621845,0.0003884787,0.0001751762,0.03582604],"study_design_scores_gemma":[0.00003319117,0.000411231,0.002614046,0.00002331963,0.00005032368,0.0008717678,0.00001646749,0.009655155,0.9743471,0.0003409568,0.01157158,0.00006489002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08289448,0.008403887,0.9014788,0.0004253269,0.0004451154,0.0007917257,0.0006334228,0.001982047,0.002945287],"genre_scores_gemma":[0.09670705,0.003139952,0.8959051,0.0002771867,0.00005895177,0.0004627004,0.0004314119,0.00006249589,0.002955139],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001620327,"threshold_uncertainty_score":0.008569181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284006792860609,"score_gpt":0.264074214670578,"score_spread":0.2512341467419719,"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."}}