{"id":"W2042193161","doi":"10.1016/j.chroma.2004.09.031","title":"Determination of low-molecular mass aldehydes by automated headspace solid-phase microextraction with in-fibre derivatisation","year":2004,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Solid-phase microextraction; Chromatography; Reagent; Detection limit; Analyte; Gas chromatography–mass spectrometry; Mass spectrometry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003040325,0.0005714047,0.0004117859,0.0004236403,0.0004847534,0.0004137403,0.0005062568,0.0004429146,0.0006241978],"category_scores_gemma":[0.0003222456,0.0003748272,0.0002587726,0.0003348626,0.0003345145,0.0003885705,0.000242917,0.000586357,0.0005118833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007510211,"about_ca_system_score_gemma":0.0005822515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851797,"about_ca_topic_score_gemma":0.01087967,"domain_scores_codex":[0.9995971,0.00005435927,0.00001903286,0.00008828263,0.0001832721,0.00005790362],"domain_scores_gemma":[0.9997162,0.00007022104,0.00004657418,0.0000318883,0.0000983167,0.00003673494],"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":[0.000100736,0.00002356493,0.0002453023,0.00001451332,0.000008504671,0.000008962273,0.00001345841,0.00006140539,0.9978903,0.00002074618,0.00002112998,0.001591377],"study_design_scores_gemma":[0.000005604628,0.000128436,0.002681871,0.000001236289,0.00001342808,0.00003702136,0.000009634131,0.0008478631,0.9954891,0.00003239998,0.0007458047,0.000007630461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9558629,0.00129819,0.04003404,0.0001261429,0.00009367866,0.00009308093,0.0007185583,0.0003977876,0.001375622],"genre_scores_gemma":[0.9392698,0.001231166,0.0517469,0.0001253752,0.00006326444,0.0001006113,0.001054381,0.00006793448,0.006340518],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002851797,"threshold_uncertainty_score":0.005670369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003491738770175231,"score_gpt":0.254926745404834,"score_spread":0.2514350066346588,"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."}}