{"id":"W2060619634","doi":"10.1021/es048904y","title":"Field Calibration of Rapidly Equilibrating Thin-Film Passive Air Samplers and Their Potential Application for Low-Volume Air Sampling Studies","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Calibration; Passive sampling; Environmental science; Environmental chemistry; Sampling (signal processing); Air pollutants; Pollutant; Volume (thermodynamics); Contamination; Coating; Chemistry; Air pollution; Thermodynamics; Organic chemistry; Computer science","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":[0.003974481,0.0008698286,0.0005445402,0.0006497948,0.0004953284,0.0005589672,0.001571914,0.0008974372,0.001312188],"category_scores_gemma":[0.007943719,0.0004184056,0.0003603778,0.0004770272,0.0006206615,0.0008319422,0.0004834489,0.0006952093,0.0006740916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669293,"about_ca_system_score_gemma":0.000371549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722473,"about_ca_topic_score_gemma":0.001983787,"domain_scores_codex":[0.9959795,0.002012242,0.0001577162,0.0006415345,0.001101827,0.0001072211],"domain_scores_gemma":[0.9947028,0.002819197,0.0005828093,0.0005471274,0.001258217,0.00008986286],"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":[0.0003947956,0.0001570011,0.01025208,0.0002376196,0.00005166027,0.00005341626,0.0002152813,0.00189476,0.9360519,0.0002616624,0.0002943127,0.05013552],"study_design_scores_gemma":[0.00007309422,0.002610685,0.01469174,0.00004358088,0.00011286,0.0005243794,0.0001946541,0.01175007,0.9613721,0.0004580622,0.008102592,0.00006609094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4597261,0.002746037,0.530242,0.0003183798,0.0002887089,0.001562455,0.0005283073,0.001670677,0.002917431],"genre_scores_gemma":[0.6090621,0.001542858,0.3841644,0.0003185422,0.0001119924,0.0009275787,0.0007575938,0.0002132318,0.002901722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003974481,"threshold_uncertainty_score":0.02101934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008397814001859,"score_gpt":0.2849362139435224,"score_spread":0.2648522358035038,"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."}}