{"id":"W2487962946","doi":"10.1016/j.atmosenv.2016.08.023","title":"Calibration of polydimethylsiloxane and XAD-Pocket passive air samplers (PAS) for measuring gas- and particle-phase SVOCs","year":2016,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; The Scarborough Hospital; University of Toronto","funders":"Health Canada; Ministry of Environment; Natural Sciences and Engineering Research Council of Canada; AllerGen","keywords":"Polydimethylsiloxane; Polybrominated diphenyl ethers; Analyte; Calibration; Chromatography; Indoor air; Chemistry; Materials science; Environmental science; Analytical Chemistry (journal); Environmental chemistry; Environmental engineering; Organic chemistry; Pollutant","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":[0.0002553074,0.0001675487,0.0002026212,0.000001905362,0.000124781,0.000009346823,0.00008600504,0.00007759826,0.0005173225],"category_scores_gemma":[0.00004304219,0.0001284931,0.00004896763,0.00004935507,0.0003136825,0.0002172992,0.0001278809,0.00004477951,0.00001289323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109075,"about_ca_system_score_gemma":0.000006486278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001517605,"about_ca_topic_score_gemma":0.0000263146,"domain_scores_codex":[0.9987957,0.00007718394,0.0002952098,0.0003566541,0.0001912773,0.0002840064],"domain_scores_gemma":[0.9993715,0.0001436159,0.0001402418,0.0002129399,0.000002987688,0.0001287535],"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":[0.000254086,0.0003259269,0.01921198,0.00005024927,0.00006099419,0.000003641564,0.001644899,0.0005448232,0.7861087,0.0004278612,0.0006358438,0.190731],"study_design_scores_gemma":[0.01271609,0.002855869,0.05696658,0.0001541701,0.0002812414,0.00003140339,0.001042933,0.005401248,0.8428962,0.002711098,0.07354,0.001403156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605968,0.0001836509,0.03720162,0.001423227,0.0000527539,0.0004356685,0.00003843812,0.00001815462,0.00004967308],"genre_scores_gemma":[0.987597,0.0002205448,0.01140646,0.000404613,0.00002650604,0.00004498494,0.000004388409,0.00001937684,0.0002761187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1893278,"threshold_uncertainty_score":0.5664319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719248054104395,"score_gpt":0.2216270127561951,"score_spread":0.2044345322151512,"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."}}