{"id":"W3049456188","doi":"10.1029/2019jd031924","title":"Detection of HCOOH, CH<sub>3</sub>OH, CO, HCN, and C<sub>2</sub>H<sub>6</sub>in Wildfire Plumes Transported Over Toronto Using Ground‐Based FTIR Measurements From 2002–2018","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Environment and Climate Change Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Trace gas; HYSPLIT; Atmospheric sciences; Atmospheric chemistry; Plume; Chemistry; Analytical Chemistry (journal); Biomass burning; Environmental science; Meteorology; Environmental chemistry; Ozone; Physics; Aerosol","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00007755208,0.0002970766,0.00009063647,0.0005082198,0.0004872133,0.0003252289,0.0002176145,0.0002202222,0.0007015303],"category_scores_gemma":[0.0001059368,0.000179829,0.0001444501,0.0004046647,0.0002152526,0.0001817389,0.000150633,0.0001783677,0.00009711337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886536,"about_ca_system_score_gemma":0.0007718646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4290741,"about_ca_topic_score_gemma":0.7148334,"domain_scores_codex":[0.9999173,0.000002353318,0.000002469285,0.00001985521,0.00003850519,0.00001950531],"domain_scores_gemma":[0.9998934,0.000006410564,0.00002513696,0.000003679245,0.00004929809,0.00002200923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003651395,0.00004546851,0.4659309,0.0001084927,0.00007985452,0.000497894,0.001007824,0.00118103,0.5189024,0.00009269049,0.0009583955,0.01082986],"study_design_scores_gemma":[0.000005060331,0.00003510188,0.9686288,0.000007501729,0.00002953837,0.00008130521,0.0003560137,0.001682305,0.02841188,0.000009549979,0.0007455043,0.000007442632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981566,0.00008857879,0.0002029304,0.00001401094,0.000002592022,0.000005617214,0.0006601257,0.00002150409,0.0008479868],"genre_scores_gemma":[0.9978301,0.0001060384,0.0005221547,0.00001330885,0.000002791369,0.000004009945,0.0008389658,0.000004591282,0.000678021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5709258,"threshold_uncertainty_score":0.8531533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494587923948434,"score_gpt":0.2778120128317398,"score_spread":0.2283532204368964,"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."}}