{"id":"W2164647084","doi":"10.1039/b311998j","title":"On-site monitoring of biogenic emissions from Eucalyptus dunnii leaves using membrane extraction with sorbent interface combined with a portable gas chromatograph system","year":2004,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Sorbent; Chromatography; Extraction (chemistry); Gas chromatography; Mass spectrometry; Solid-phase microextraction; Gas chromatography–mass spectrometry; Analytical Chemistry (journal); Adsorption","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243882,0.0002937941,0.0002771571,0.0002409563,0.0001880501,0.0001783141,0.0002464703,0.0001897827,0.0004116479],"category_scores_gemma":[0.0001263225,0.0001422375,0.0001766526,0.0002177713,0.0001114197,0.0001701868,0.0002280257,0.0002045165,0.0001156903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002504347,"about_ca_system_score_gemma":0.0002045299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461078,"about_ca_topic_score_gemma":0.003711974,"domain_scores_codex":[0.9998507,0.00002166535,0.00000718424,0.00005776954,0.00005022686,0.00001243726],"domain_scores_gemma":[0.9999166,0.00002135016,0.00001951332,0.000009023997,0.00001767811,0.00001592644],"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":[0.00005076025,0.00000839812,0.001437997,0.0000208785,0.000005666331,0.000009726356,0.000006634241,0.00006273693,0.9958746,0.000005089643,0.00001019064,0.002507384],"study_design_scores_gemma":[0.00001199567,0.0002887159,0.04689394,0.000003584909,0.00003434615,0.000270857,0.00002876861,0.00218503,0.9494202,0.00002189423,0.0008288131,0.0000119245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919227,0.0001600631,0.007057093,0.0000156516,0.000004107673,0.0000207607,0.0003327267,0.0000999098,0.00038685],"genre_scores_gemma":[0.9752736,0.0002633675,0.02223784,0.00003087474,0.000007427471,0.00005464849,0.000634532,0.00002669384,0.001470921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461078,"threshold_uncertainty_score":0.00290519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996179915226687,"score_gpt":0.2269079373564694,"score_spread":0.2169461382042025,"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."}}