{"id":"W2144474674","doi":"10.1002/jssc.201300119","title":"Development of a new in‐vial standard gas system for calibrating solid‐phase microextraction in high‐throughput and on‐site applications","year":2013,"lang":"en","type":"article","venue":"Journal of Separation Science","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solid-phase microextraction; Throughput; Chromatography; Gas chromatography; Vial; Gas phase; Calibration; Chemistry; Analytical Chemistry (journal); Process engineering; Materials science; Computer science; Gas chromatography–mass spectrometry; Mass spectrometry; Engineering; Physics; Physical chemistry","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":[0.0009642057,0.00009303733,0.0002333749,0.0001497095,0.00008778568,0.00007389944,0.0001480113,0.00005439188,0.00003008871],"category_scores_gemma":[0.0001774137,0.00008292871,0.00002619299,0.000351089,0.00008358863,0.0004613794,0.00002813725,0.0001357083,0.000002037378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573777,"about_ca_system_score_gemma":0.0008441418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001321698,"about_ca_topic_score_gemma":0.00001012408,"domain_scores_codex":[0.9983695,0.00001143758,0.0008615482,0.0001871871,0.0004041253,0.0001661992],"domain_scores_gemma":[0.9988357,0.0001320323,0.000532396,0.00009600339,0.0002787422,0.0001250741],"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":[0.00008602551,0.00006384501,0.0004620762,0.0001062776,0.000005880811,0.000001183715,0.001078429,0.0001874149,0.9846382,0.0001681078,0.00003378706,0.01316882],"study_design_scores_gemma":[0.001422928,0.00004184355,0.0007771243,0.0002367833,0.000007773648,0.00002722676,0.0008660631,0.00367694,0.9916071,0.0002994144,0.0009277218,0.0001090547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539212,0.00001928989,0.3455584,0.0001347109,0.00002775674,0.0001243204,0.000002932028,0.00000398065,0.0002073429],"genre_scores_gemma":[0.7697662,0.000004763492,0.2300715,0.00001299774,0.00006061277,0.00001985047,0.000001796457,0.000004306778,0.00005797973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115845,"threshold_uncertainty_score":0.3381735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301972250078482,"score_gpt":0.404420717631598,"score_spread":0.3614009951308132,"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."}}