{"id":"W4405097711","doi":"10.1016/j.geomat.2024.100043","title":"Capturing the vertical distribution of near-highway nitrogen dioxide using UAV-based measurements","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Nitrogen dioxide; Environmental science; Nitrogen; Distribution (mathematics); Meteorology; Chemistry; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005425913,0.00009053161,0.00009854223,0.000008125648,0.0001798549,0.00005290603,0.0001383077,0.00003819053,0.0001071446],"category_scores_gemma":[0.0001403211,0.00006313316,0.0000671027,0.0001678715,0.0001869367,0.00007879735,0.00008014456,0.0001002503,0.0001089366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690938,"about_ca_system_score_gemma":0.00001972082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003484747,"about_ca_topic_score_gemma":0.000005162602,"domain_scores_codex":[0.9989055,0.00007301667,0.0002285086,0.0001579306,0.0004108418,0.0002241904],"domain_scores_gemma":[0.9996055,0.000114323,0.00002633961,0.0001921901,0.000007319583,0.00005428392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001234012,0.0005202745,0.5463985,0.001128022,0.0004005897,0.00006207604,0.006538345,0.1435215,0.252352,0.001516797,0.00176211,0.04567638],"study_design_scores_gemma":[0.0003077638,0.00007326226,0.06278303,0.0005531641,0.000191014,0.00001543193,0.0002261134,0.7821146,0.1493299,0.002487938,0.001566449,0.0003513372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805747,0.00005697026,0.01842388,0.0002178862,0.0001654372,0.00009836121,0.000007294191,0.00006312431,0.0003923418],"genre_scores_gemma":[0.9986196,2.712871e-7,0.00128185,0.00001485308,0.00004902032,0.000005361165,0.000005973831,0.000009798478,0.00001326692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385931,"threshold_uncertainty_score":0.2574496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356436398018512,"score_gpt":0.2715978809551917,"score_spread":0.2180335169750066,"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."}}