{"id":"W2323990737","doi":"10.1021/es505246m","title":"Ambient Ultrafine Particle Levels at Residential and Reference Sites in Urban and Rural Switzerland","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Bundesamt für Umwelt; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ultrafine particle; Environmental science; Interquartile range; Percentile; Air pollution; Representativeness heuristic; Range (aeronautics); Spatial distribution; Exposure assessment; Residential area; Air pollutants; Environmental health; Meteorology; Geography; Statistics; Medicine; Remote sensing","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":[0.0003834606,0.000496518,0.0002597782,0.001106931,0.000399584,0.0007118525,0.0002226175,0.0005773706,0.001347906],"category_scores_gemma":[0.0007531393,0.0001733108,0.0002802291,0.0007932724,0.0005267519,0.0003179031,0.0004468138,0.0001665619,0.0003413779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556417,"about_ca_system_score_gemma":0.0001661184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.027966,"about_ca_topic_score_gemma":0.02996934,"domain_scores_codex":[0.9995801,0.0001116513,0.00002508773,0.0001356816,0.00008834951,0.00005912732],"domain_scores_gemma":[0.999535,0.000125692,0.0001303277,0.0000380909,0.0000987643,0.00007214623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008171797,0.00009848654,0.9759952,0.00006438272,0.00008737356,0.0004037805,0.001665829,0.001200892,0.0124653,0.0001059406,0.0002902927,0.006805215],"study_design_scores_gemma":[0.000006091655,0.0001068,0.9987848,0.000002213845,0.000008170861,0.0001088031,0.0002438074,0.0003215598,0.0002957363,0.00001906303,0.00009859216,0.000004295914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992525,0.000103537,0.0001191468,0.000006121162,0.000001342377,0.000005800321,0.0002633985,0.000007949554,0.0002402561],"genre_scores_gemma":[0.9992292,0.00004430155,0.00009569599,0.000003353242,0.00000300796,0.00001177088,0.0004296319,0.000002424913,0.000180714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.027966,"threshold_uncertainty_score":0.05560642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912817315617037,"score_gpt":0.2820946525545641,"score_spread":0.2429664793983937,"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."}}