{"id":"W1994921529","doi":"10.1016/j.chemosphere.2012.10.044","title":"Determination of cyclic volatile methylsiloxanes in water, sediment, soil, biota, and biosolid using large-volume injection–gas chromatography–mass spectrometry","year":2012,"lang":"en","type":"article","venue":"Chemosphere","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Health Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mass spectrometry; Volume (thermodynamics); Sediment; Environmental chemistry; Gas chromatography; Biota; Chemistry; Gas chromatography–mass spectrometry; Chromatography; Environmental science; Geology; Ecology; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876558,0.0001916999,0.0003122558,0.0001102621,0.00005139733,0.00001672805,0.000123433,0.0002376067,0.0002355282],"category_scores_gemma":[0.00008243552,0.0001605627,0.00007658188,0.0003961923,0.00005990507,0.0002595787,0.00008650462,0.0002014803,0.000006848863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006470938,"about_ca_system_score_gemma":0.000007566936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009114076,"about_ca_topic_score_gemma":0.000005517468,"domain_scores_codex":[0.9988765,0.00001614875,0.0003139731,0.0002120586,0.0001421535,0.0004392085],"domain_scores_gemma":[0.9995439,0.00004082405,0.00008260019,0.0002212954,0.00003169849,0.0000796575],"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":[0.00001096135,0.00007498678,0.03447202,0.0001229349,0.00001783724,0.000001158487,0.0001957133,0.00004029533,0.9622682,0.0000218917,0.00003324298,0.002740802],"study_design_scores_gemma":[0.0005948016,0.00002990107,0.001584376,0.00006197282,0.00002674196,0.000009657296,0.0003573909,0.03491652,0.961621,0.0003333392,0.0002612392,0.00020306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908463,0.001539482,0.006743987,0.00005467871,0.0001437993,0.0001135803,0.000005660355,0.0001761771,0.0003763002],"genre_scores_gemma":[0.9901329,0.00004700938,0.009599925,0.00001033953,0.00007473133,0.000008525055,0.000007740867,0.00002661304,0.00009224464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487622,"threshold_uncertainty_score":0.6547559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106103051766688,"score_gpt":0.2437310822390977,"score_spread":0.2326700517214308,"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."}}