{"id":"W2040279244","doi":"10.1007/s00216-012-5897-7","title":"Preparation of a sewage sludge laboratory quality control material for butyltin compounds and their determination by isotope-dilution mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Isotope dilution; Tributyltin; Mass spectrometry; Chemistry; Inductively coupled plasma mass spectrometry; Sewage sludge; Sample preparation; Extraction (chemistry); Environmental chemistry; Chromatography; Certified reference materials; Gas chromatography; Gas chromatography–mass spectrometry; Sewage; Detection limit; Environmental science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678283,0.0001763026,0.0002910249,0.00001560199,0.00004218413,0.00001717574,0.00005714063,0.0002265733,0.0001003755],"category_scores_gemma":[0.00005984312,0.0001478485,0.00005871295,0.0000667405,0.0002280892,0.00008960879,0.00002661451,0.00010876,0.00000107826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004673168,"about_ca_system_score_gemma":0.000005470702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000389474,"about_ca_topic_score_gemma":6.105998e-7,"domain_scores_codex":[0.9991579,0.00001935372,0.0003100894,0.0001879837,0.00007809354,0.0002465798],"domain_scores_gemma":[0.9995097,0.0001435335,0.00005019239,0.0001214033,0.00002065453,0.0001545113],"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":[0.0001144856,0.0000685795,0.01306104,0.0003970246,0.00007747754,1.977969e-7,0.00001324669,0.000001487547,0.9857635,0.00009957179,0.0002104434,0.0001929332],"study_design_scores_gemma":[0.0008187635,0.0000609972,0.007505824,0.00001510026,0.0001368095,0.000008226884,0.00007163853,0.02548213,0.9640968,0.00022291,0.001272515,0.0003082791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927782,0.0002889149,0.004886144,0.00008305609,0.0000350477,0.0001084825,0.0004619176,0.00004285935,0.001315352],"genre_scores_gemma":[0.9992058,0.00004382663,0.0002658201,0.00003001477,0.0001352158,0.00001267826,0.0001705463,0.00001046471,0.0001256128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02548064,"threshold_uncertainty_score":0.6029088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007005758031467832,"score_gpt":0.2415483899317462,"score_spread":0.2345426319002784,"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."}}