{"id":"W2782573089","doi":"10.1515/cttr-2017-0020","title":"Determination of Mercury in Aerosol by Inductively Coupled Plasma Mass Spectrometry","year":2017,"lang":"en","type":"article","venue":"Beiträge zur Tabakforschung international","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Chemistry; Aerosol; Particulates; Inductively coupled plasma mass spectrometry; Nitric acid; Mass spectrometry; Analytical Chemistry (journal); Environmental chemistry; Sample preparation; Chromatography; Inorganic 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":[0.0003665644,0.0003529817,0.000318749,0.0008510169,0.0002074518,0.0002486802,0.0005215061,0.0003322116,0.0009958636],"category_scores_gemma":[0.000378822,0.0001491731,0.0002349019,0.0003671798,0.0001930517,0.0001763242,0.0002829776,0.0003717159,0.0005218382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008673,"about_ca_system_score_gemma":0.000342401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220578,"about_ca_topic_score_gemma":0.002440101,"domain_scores_codex":[0.999393,0.000071008,0.00002780512,0.0001427071,0.0003409972,0.00002450954],"domain_scores_gemma":[0.9997955,0.00004453912,0.00002077295,0.0000174828,0.0001116837,0.00001002573],"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":[0.00002090137,0.00001056615,0.001095221,0.00007807439,0.00001590912,0.0000410418,0.00001704041,0.00008188309,0.990985,0.00005173614,0.00009544707,0.007507067],"study_design_scores_gemma":[0.000008163475,0.0001921484,0.008386672,0.00001670305,0.00003748958,0.0002356621,0.00003338936,0.002160714,0.9801149,0.0002300612,0.008569535,0.00001458228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7837104,0.01746035,0.1846239,0.0002169386,0.0002939641,0.0003626187,0.00261567,0.001853119,0.008863066],"genre_scores_gemma":[0.8487744,0.005793229,0.1343146,0.0001979583,0.0001022707,0.0002182783,0.001945239,0.0001292602,0.00852479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220578,"threshold_uncertainty_score":0.003331542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872998579152358,"score_gpt":0.2853467280797801,"score_spread":0.2666167422882565,"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."}}