{"id":"W2066543915","doi":"10.1021/ac000629k","title":"Design and Validation of Portable SPME Devices for Rapid Field Air Sampling and Diffusion-Based Calibration","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute for Occupational Safety and Health; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Chemistry; Calibration; Sampling (signal processing); Solid-phase microextraction; Extraction (chemistry); Fiber; Diffusion; Chromatography; Volatile organic compound; Calibration curve; Contamination; Adsorption; Analytical Chemistry (journal); Environmental chemistry; Detection limit; Mass spectrometry; Gas chromatography–mass spectrometry","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":[0.0000268173,0.0000823892,0.0001234844,0.00001095825,0.00002316287,0.000008977017,0.00004293783,0.0001144757,0.00008762162],"category_scores_gemma":[0.00009150436,0.00007969253,0.00001940972,0.00005968786,0.00003897682,0.00005568604,0.000007086833,0.00006578461,1.855868e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001097634,"about_ca_system_score_gemma":0.00000270591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002881226,"about_ca_topic_score_gemma":1.903015e-7,"domain_scores_codex":[0.999562,0.000001941442,0.0001476804,0.0001227255,0.00005527326,0.0001104348],"domain_scores_gemma":[0.999531,0.00030591,0.00001839908,0.00009235131,0.00001556264,0.00003676277],"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":[0.00004595012,0.00002301185,0.0008518148,0.000518795,0.00002720853,9.544544e-7,0.00001204375,0.07875838,0.9060078,0.00002215108,0.0001388481,0.01359308],"study_design_scores_gemma":[0.0001263171,0.00001053131,0.00004006894,0.00001995415,0.00001681769,7.454808e-7,0.00001063299,0.273091,0.7259064,0.0004815544,0.0002270982,0.00006891009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.848172,0.0001381184,0.1511027,0.0001212572,0.00000383318,0.00007493656,0.000004955315,0.0001306972,0.0002515092],"genre_scores_gemma":[0.9891268,0.00004772329,0.01070427,0.0000297081,0.00001557262,0.000007654519,0.00001871676,0.000009760927,0.00003977548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943326,"threshold_uncertainty_score":0.3249767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630812617490071,"score_gpt":0.2388321878164082,"score_spread":0.2225240616415075,"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."}}