{"id":"W1999967899","doi":"10.1021/es026166c","title":"Development and Calibration of a Resin-Based Passive Sampling System for Monitoring Persistent Organic Pollutants in the Atmosphere","year":2003,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Atmosphere (unit); Pollutant; Passive sampling; Environmental science; Environmental chemistry; Sampling (signal processing); Calibration; Pesticide; Sorption; Chemistry; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006188012,0.0001575418,0.0001603794,0.00006721974,0.0003788467,0.00002466337,0.000455423,0.0001032021,0.00009073738],"category_scores_gemma":[0.0001111181,0.0001226575,0.00002864024,0.000833435,0.001045765,0.0001842893,0.0001178829,0.0001208613,0.000008052506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163989,"about_ca_system_score_gemma":0.00007189763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007732002,"about_ca_topic_score_gemma":0.00002074121,"domain_scores_codex":[0.9983585,0.00003875159,0.0002968999,0.0004284347,0.0004217429,0.0004556761],"domain_scores_gemma":[0.9994317,0.00005291422,0.0001469259,0.0002996734,7.673443e-7,0.00006806532],"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":[0.00001487174,0.0001025256,0.06004593,0.00001053415,0.000006380394,0.000005377553,0.001479241,0.0004177399,0.896431,0.0001313766,0.000001195681,0.04135383],"study_design_scores_gemma":[0.0007503117,0.0002069237,0.1433979,0.00005695702,0.00001764249,0.00007315043,0.01859358,0.00129737,0.8347303,0.0001018516,0.0005004015,0.0002735289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973448,0.0001024613,0.001625183,0.000231965,0.00007970205,0.0004610851,0.00001358089,0.00003241761,0.0001088326],"genre_scores_gemma":[0.9879918,0.000005312621,0.01192162,0.00002524196,0.000005284787,0.00002604072,2.168366e-7,0.00001251961,0.00001199043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08335202,"threshold_uncertainty_score":0.5001829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299643376292117,"score_gpt":0.2240290536975358,"score_spread":0.2110326199346146,"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."}}