{"id":"W2139984477","doi":"10.1002/jssc.201500623","title":"Quantification of 16 polycyclic aromatic hydrocarbons in cigarette smoke condensate using stable isotope dilution liquid chromatography with atmospheric‐pressure photoionization tandem mass spectrometry","year":2015,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Polycyclic aromatic hydrocarbon; Chemistry; Isotope dilution; Chromatography; Mass spectrometry; Smoke; Tandem mass spectrometry; tar (computing); Hydrocarbon; Gas chromatography; Environmental chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001786429,0.0001550794,0.0002829315,0.0001797266,0.0001275764,0.0000841259,0.0003848206,0.00006965252,0.00005091545],"category_scores_gemma":[0.0002203237,0.0001262785,0.00004423311,0.003366437,0.0006039692,0.001995411,0.0000369936,0.0001666308,0.000005215117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524355,"about_ca_system_score_gemma":0.0003405818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001460423,"about_ca_topic_score_gemma":0.00006462342,"domain_scores_codex":[0.9972681,0.0001084501,0.0007069907,0.0002583265,0.001347518,0.000310551],"domain_scores_gemma":[0.9983463,0.00003580244,0.001121864,0.000275034,0.00001401115,0.0002069853],"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":[0.0001084082,0.00008471392,0.04548399,0.000002139103,0.00001578594,0.000004583715,0.0008714856,0.006279839,0.9469513,0.000006640561,0.00002004037,0.0001710515],"study_design_scores_gemma":[0.00148791,0.001062857,0.3676026,0.0001697663,0.0001001644,0.000255006,0.001084357,0.08434499,0.542723,0.000746519,0.00006808651,0.0003547012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350065,0.0001271668,0.06396765,0.0001011498,0.0001534621,0.0001977314,0.000002688329,0.00001285169,0.0004307951],"genre_scores_gemma":[0.9955386,0.00001580324,0.004340663,0.00004046281,0.00002468698,0.000001046986,5.829937e-7,0.00001274355,0.00002539352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4042283,"threshold_uncertainty_score":0.5149488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470838603222258,"score_gpt":0.2818564102500491,"score_spread":0.2571480242178266,"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."}}