{"id":"W2191705035","doi":"10.1016/bs.coac.2015.09.002","title":"Passive Diffusion Sampling Devices for Monitoring Ambient Air Concentrations","year":2015,"lang":"en","type":"book-chapter","venue":"Comprehensive analytical chemistry","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Diffusion; Environmental science; Sampling (signal processing); Environmental chemistry; Passive sampling; Chemistry; Computer science; Telecommunications; Physics","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":[0.000424719,0.001428229,0.0006882948,0.0009127646,0.000285938,0.001058139,0.001861257,0.001352855,0.01034355],"category_scores_gemma":[0.0005317255,0.0005633262,0.0004236587,0.001028815,0.0004374138,0.001985828,0.0008872029,0.001289395,0.01060797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003848627,"about_ca_system_score_gemma":0.0003048213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000373651,"about_ca_topic_score_gemma":0.0007865477,"domain_scores_codex":[0.9992924,0.00003727372,0.00001867503,0.0001698097,0.0004586313,0.00002321252],"domain_scores_gemma":[0.9997802,0.00009325074,0.00001518909,0.000028761,0.00007398031,0.000008660511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001407517,0.00009251997,0.0004761369,0.001121151,0.00002869688,0.0001360843,0.0001833972,0.0006002383,0.2518122,0.01864662,0.05899093,0.6677713],"study_design_scores_gemma":[0.00002135091,0.0002043877,0.001192515,0.0002208102,0.00006122849,0.001301171,0.00007929013,0.00405546,0.2184644,0.009217504,0.7651235,0.00005842419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01033371,0.1080517,0.7240491,0.001604149,0.004733626,0.0003890401,0.002295347,0.003456312,0.145087],"genre_scores_gemma":[0.06163655,0.0810304,0.2236376,0.003074668,0.001619726,0.0005528632,0.002793712,0.0007206016,0.6249339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034355,"threshold_uncertainty_score":0.03460264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111003668343031,"score_gpt":0.3225838943183515,"score_spread":0.2114835274840485,"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."}}