{"id":"W2770842067","doi":"10.1039/c7ja00296c","title":"Sub-ppt determination of butyltins, methylmercury and inorganic mercury in natural waters by dynamic headspace in-tube extraction and GC-ICPMS detection","year":2017,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Methylmercury; Mercury (programming language); Chemistry; Chromatography; Extraction (chemistry); Environmental chemistry","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":[0.0003025817,0.0005257046,0.0002770001,0.0005296968,0.0004192093,0.0002502521,0.000569267,0.0004514419,0.001438338],"category_scores_gemma":[0.0005957754,0.00027782,0.0002836759,0.0004700273,0.0003363829,0.000396088,0.0004918288,0.0005121344,0.0006371448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478432,"about_ca_system_score_gemma":0.001077565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002558738,"about_ca_topic_score_gemma":0.009122577,"domain_scores_codex":[0.9993812,0.00005320926,0.00003778304,0.0001201469,0.0003782687,0.00002946351],"domain_scores_gemma":[0.9997491,0.00005934568,0.00002686275,0.00003339207,0.0001124337,0.00001890175],"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":[0.00003650649,0.00001485443,0.0005897518,0.00004645479,0.0000123774,0.000031035,0.00002659444,0.00005966279,0.9938212,0.00008817816,0.0001922012,0.005081264],"study_design_scores_gemma":[0.00001028548,0.0001178158,0.006376134,0.000007858537,0.00002165712,0.0003296934,0.00003548689,0.001539276,0.9859905,0.0003044418,0.005255865,0.00001089025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7327147,0.002630896,0.2348938,0.0003857187,0.0002004545,0.0007265914,0.007786432,0.001604002,0.01905754],"genre_scores_gemma":[0.6661349,0.003583399,0.2871358,0.0005797691,0.00005784218,0.001249997,0.008517203,0.0003047887,0.03243641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002558738,"threshold_uncertainty_score":0.005087614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008484397031810847,"score_gpt":0.2929050066189835,"score_spread":0.2844206095871726,"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."}}