{"id":"W3195340213","doi":"10.1016/j.envsci.2021.08.003","title":"Global intercomparison of polyurethane foam passive air samplers evaluating sources of variability in SVOC measurements","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"RECETOX Přírodovědecké Fakulty Masarykovy Univerzity; EEA Grants; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission; Government of Canada; FP7 Coherent Development of Research Policies","keywords":"Polyurethane; Environmental science; Materials science; Remote sensing; Composite material; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01113374,0.001107625,0.0009565892,0.001334008,0.0007175602,0.00135528,0.001125929,0.001369836,0.00045917],"category_scores_gemma":[0.006561855,0.0004504708,0.001634589,0.0015201,0.0007216938,0.001154611,0.001629774,0.0005598451,0.0003080108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000782215,"about_ca_system_score_gemma":0.0008581701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109098,"about_ca_topic_score_gemma":0.009951183,"domain_scores_codex":[0.9939086,0.001590637,0.000422036,0.002268754,0.001577734,0.0002321527],"domain_scores_gemma":[0.9948381,0.001101994,0.0004805045,0.000980354,0.002499632,0.00009937246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003218953,0.0005135487,0.6613517,0.001269902,0.003952415,0.0005417321,0.004278783,0.02679398,0.2000137,0.001365102,0.002869241,0.0938309],"study_design_scores_gemma":[0.0001741289,0.002195155,0.83761,0.0001884505,0.002454311,0.0003906827,0.001595796,0.02297358,0.1126491,0.001543993,0.01803845,0.0001863376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591746,0.001598694,0.03078767,0.0001320422,0.0002432285,0.0003579005,0.003721928,0.0003256669,0.003658233],"genre_scores_gemma":[0.9674917,0.0005564779,0.02219461,0.0002436287,0.00005117398,0.0004593297,0.00814348,0.00017174,0.0006876962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01113374,"threshold_uncertainty_score":0.05888152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07615491588453975,"score_gpt":0.380374256905831,"score_spread":0.3042193410212913,"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."}}