{"id":"W3088997967","doi":"10.1016/j.enceco.2020.09.003","title":"A field portable membrane introduction mass spectrometer with in-line standard infusion and sample heat exchanger for real-time monitoring of volatile organic compounds in aqueous samples","year":2020,"lang":"en","type":"article","venue":"Environmental Chemistry and Ecotoxicology","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"Statoil; Vancouver Island University; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Heat exchanger; Chemistry; Analyte; Standard solution; Sample preparation; Mass spectrometry; Calibration; Analytical Chemistry (journal); Sample (material); Continuous monitoring; Process engineering; Chromatography; Environmental science; Engineering","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":[0.00002165831,0.0001204331,0.0002391941,0.00001762328,0.00001910714,0.000004164624,0.00004334126,0.0001234808,0.0001530187],"category_scores_gemma":[0.0000377233,0.0001223783,0.00001114348,0.00005794613,0.00006337425,0.00005663182,0.00003850766,0.0001377358,2.802634e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009184768,"about_ca_system_score_gemma":0.000001436269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004634836,"about_ca_topic_score_gemma":0.000004781356,"domain_scores_codex":[0.9994186,0.00000359969,0.0001555666,0.000203221,0.00004538747,0.0001735937],"domain_scores_gemma":[0.9997392,0.0001167252,0.00002479602,0.00007958866,0.000001642862,0.00003801195],"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":[0.000192216,0.00001590417,0.009988803,0.000140757,0.000009774776,0.000003610983,0.00007566264,0.0004650927,0.9886106,3.505808e-7,0.00001372807,0.0004835342],"study_design_scores_gemma":[0.0006081213,0.0002829366,0.0004994871,0.00001323539,0.0000071185,0.00001106243,0.0001817494,0.001579904,0.9963467,0.0001164105,0.0002343447,0.0001189646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989491,0.0001717141,0.0003646722,0.0002509535,0.00001356389,0.0001420713,0.00003692299,0.00004750815,0.0000235459],"genre_scores_gemma":[0.9922207,0.0005432484,0.007079368,0.000007713606,0.00006896159,0.00002300027,0.00002917505,0.00001696991,0.00001084922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009489316,"threshold_uncertainty_score":0.4990444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006777990736864452,"score_gpt":0.190047602124739,"score_spread":0.1832696113878745,"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."}}