{"id":"W2154968864","doi":"10.1093/chromsci/44.6.317","title":"Field Sampling with a Polydimethylsiloxane Thin-Film","year":2006,"lang":"en","type":"article","venue":"Journal of Chromatographic Science","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"University of Waterloo","keywords":"Polydimethylsiloxane; Fluoranthene; Calibration; Chemistry; Solid-phase microextraction; Chromatography; Detection limit; Extraction (chemistry); Analytical Chemistry (journal); Thin film; Calibration curve; Pyrene; Phase (matter); Analyte; Mass spectrometry; Gas chromatography–mass spectrometry; Materials science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203135,0.0001817264,0.0003121231,0.000274369,0.0001926775,0.0001236943,0.0007802424,0.00008306627,0.0004263039],"category_scores_gemma":[0.0003609871,0.0001297374,0.0001379459,0.001347068,0.0005875298,0.0003099157,0.00007603995,0.0004068775,0.000002977328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000787484,"about_ca_system_score_gemma":0.000470785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002934311,"about_ca_topic_score_gemma":0.000003102774,"domain_scores_codex":[0.9975279,0.00001336713,0.0005778362,0.0002632198,0.001198231,0.0004194342],"domain_scores_gemma":[0.9983004,0.000326084,0.0004785518,0.0002966356,0.0003685811,0.0002297488],"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":[0.0001174965,0.0001671369,0.03955162,0.000104295,0.00006210604,0.0001597428,0.0001008217,0.0001445831,0.9568217,0.001267618,0.0002516793,0.001251168],"study_design_scores_gemma":[0.0006354078,0.0001209563,0.006023288,0.0003325556,0.00006366947,0.001300505,0.0001915674,0.0004333961,0.9850934,0.00377492,0.001705525,0.0003247869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278877,0.0003662497,0.04932711,0.0004262775,0.00009109831,0.00002460685,0.000001037911,0.00003746547,0.02183846],"genre_scores_gemma":[0.8656368,0.00001631287,0.133892,0.00009813313,0.0001681726,0.000001070097,3.369283e-7,0.00001138669,0.0001757979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08456485,"threshold_uncertainty_score":0.5290539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662010790333179,"score_gpt":0.2833008331436332,"score_spread":0.2666807252403015,"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."}}