{"id":"W4411350663","doi":"10.1007/s11157-025-09732-8","title":"Passive flux samplers for estimating airborne pollutants emissions: a comprehensive review","year":2025,"lang":"en","type":"review","venue":"Reviews in Environmental Science and Bio/Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Environmental science; Pollutant; Flux (metallurgy); Meteorology; Remote sensing; Atmospheric sciences; Geology; Geography; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001859752,0.0006960976,0.002690655,0.0005732227,0.0006487202,0.00003550471,0.00120002,0.0005335301,0.0004779819],"category_scores_gemma":[0.001655555,0.0005218528,0.0002523853,0.003324693,0.002851615,0.0003018037,0.001314469,0.0006551658,0.000251834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432343,"about_ca_system_score_gemma":0.0003130987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001518657,"about_ca_topic_score_gemma":0.00001051058,"domain_scores_codex":[0.9950458,0.0002255825,0.001615291,0.001452805,0.0005413773,0.001119099],"domain_scores_gemma":[0.9977234,0.0003190221,0.0009129643,0.0007006414,0.000009275631,0.0003346971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001658934,0.00006299147,0.00002051825,0.02353026,0.000006532261,0.000004959544,0.00002179569,6.683957e-7,0.00001516645,0.00004429759,0.002129779,0.9741614],"study_design_scores_gemma":[0.000171355,0.0001221344,0.00004901735,0.07281188,0.0001854461,0.00005876241,0.00005298463,0.00007390926,0.000006658583,0.0004094068,0.9255777,0.0004807231],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001146914,0.9910195,0.0002790851,0.002719346,0.0001734077,0.005421113,0.0001778735,0.00004862335,0.0001495251],"genre_scores_gemma":[0.000005897295,0.9767615,0.01901014,0.003108113,0.0000327132,0.0008527486,0.00003045973,0.00002404081,0.0001744528],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9736807,"threshold_uncertainty_score":0.9998621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822902965878599,"score_gpt":0.3931819869930359,"score_spread":0.3149529573342499,"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."}}