{"id":"W3003821437","doi":"10.2478/cttr-2019-0011","title":"Gas Chromatography-Tandem Mass Spectrometry Method for Selective Detection of 2-Nitropropane in Mainstream Cigarette Smoke","year":2019,"lang":"en","type":"article","venue":"Beiträge zur Tabakforschung international","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Tobacco Products; Oak Ridge Institute for Science and Education; U.S. Food and Drug Administration; Centers for Disease Control and Prevention; National Institutes of Health; U.S. Department of Energy","keywords":"Sidestream smoke; Chemistry; Chromatography; Cigarette smoke; Detection limit; Gas Chromatography/Tandem Mass Spectrometry; Mass spectrometry; Gas chromatography; Isotope dilution; Gas chromatography–mass spectrometry; Smoke; 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":[0.001104611,0.0009763365,0.0006179921,0.001777175,0.0007516615,0.0002210616,0.0008742198,0.001138857,0.001544584],"category_scores_gemma":[0.001177981,0.0004065559,0.0004268397,0.0009856678,0.0003358544,0.0003869983,0.0005734961,0.0008228802,0.0008634215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005289783,"about_ca_system_score_gemma":0.001206772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005721,"about_ca_topic_score_gemma":0.004327954,"domain_scores_codex":[0.9983793,0.0003496345,0.00007687386,0.0003939669,0.0007149214,0.00008522269],"domain_scores_gemma":[0.9995061,0.0001827071,0.00006092867,0.00003794627,0.0001691813,0.00004316774],"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":[0.000218602,0.000148229,0.006207726,0.0001730586,0.00007082714,0.0001500295,0.00006949566,0.0002567907,0.9719594,0.0002758059,0.0004588393,0.02001129],"study_design_scores_gemma":[0.0001101694,0.001191122,0.03847937,0.0000882012,0.0002295212,0.002341896,0.00009396188,0.01440919,0.9314288,0.0006172216,0.01091671,0.00009389434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4398061,0.0183981,0.523253,0.000569003,0.0008091364,0.001277278,0.003400128,0.004260086,0.008227145],"genre_scores_gemma":[0.6224307,0.00813835,0.3570057,0.001199779,0.0001606154,0.002116068,0.002359533,0.0001622023,0.006427024],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002005721,"threshold_uncertainty_score":0.005841792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504688692639634,"score_gpt":0.302518575046373,"score_spread":0.2874716881199766,"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."}}