{"id":"W4239025543","doi":"10.1002/jssc.201570200","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Photoionization; Mass spectrometry; Polycyclic aromatic hydrocarbon; Isotope dilution; Atmospheric pressure; tar (computing); Gas chromatography; Tandem mass spectrometry; Environmental chemistry; Chromatography; Analytical Chemistry (journal); Ionization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005920544,0.0006283273,0.0003506827,0.001212308,0.0004346707,0.0005223543,0.0003551879,0.0007320861,0.0008962136],"category_scores_gemma":[0.0006961043,0.0003017226,0.0004159933,0.0007935358,0.0004533114,0.0004289293,0.0004383599,0.0004865466,0.0004913107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004010568,"about_ca_system_score_gemma":0.0009619793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002810824,"about_ca_topic_score_gemma":0.00763204,"domain_scores_codex":[0.9992513,0.0000884113,0.0000318304,0.0001793609,0.0003925127,0.00005664445],"domain_scores_gemma":[0.9998073,0.00003562998,0.00003914457,0.00001112826,0.0000791729,0.00002774427],"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":[0.0001903653,0.0001045357,0.009397854,0.00008687152,0.00006903423,0.0000732803,0.00005795733,0.0001535796,0.9760349,0.00008650331,0.00008185541,0.0136633],"study_design_scores_gemma":[0.00002889546,0.0004466525,0.04310964,0.00002487308,0.0001173802,0.0003992823,0.00008127431,0.005474654,0.9478979,0.0001679054,0.002207142,0.00004438574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578476,0.006171934,0.03115899,0.0001457689,0.0001086611,0.0002354419,0.001084897,0.0002714818,0.002975218],"genre_scores_gemma":[0.9119507,0.006312465,0.07405648,0.0003129777,0.00006463996,0.0003054805,0.001329111,0.00003927382,0.005628753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002810824,"threshold_uncertainty_score":0.005588949,"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."}}