{"id":"W4246863130","doi":"10.5194/amt-2019-411","title":"The 2018 fire season in North America as seen by TROPOMI: aerosol layer height validation and evaluation of model-derived plume heights","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"Netherlands Space Office; European Space Agency; Langley Research Center; National Aeronautics and Space Administration","keywords":"Plume; Aerosol; Environmental science; Altitude (triangle); Meteorology; Atmospheric sciences; Air quality index; Satellite; Remote sensing; Panache; Geography; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006532283,0.0008726373,0.0004329079,0.0005214754,0.0004463807,0.0006689194,0.0006611802,0.0004952696,0.0006921287],"category_scores_gemma":[0.0009199546,0.0002516072,0.0006362176,0.0007168808,0.0001915969,0.0007279027,0.0003222423,0.0005521331,0.0002088446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007592972,"about_ca_system_score_gemma":0.0009046351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08917862,"about_ca_topic_score_gemma":0.09596721,"domain_scores_codex":[0.9998349,0.00002149621,0.00001452687,0.00005027911,0.00005161439,0.00002713506],"domain_scores_gemma":[0.9996287,0.00006401211,0.00005000958,0.00006766611,0.0001388821,0.00005078897],"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":[0.001249102,0.0008141922,0.5070164,0.0003662276,0.000487942,0.0008410146,0.0005570597,0.3618826,0.05999015,0.0004720858,0.00504759,0.0612756],"study_design_scores_gemma":[0.0001969964,0.0002569645,0.3167309,0.00005716003,0.0001121901,0.0001409454,0.00035685,0.6614172,0.01830716,0.0001379483,0.002202169,0.00008355929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943244,0.0001587662,0.001335336,0.00005506335,0.00002869104,0.0000305984,0.00241073,0.0005789792,0.001077329],"genre_scores_gemma":[0.9894217,0.0001016179,0.005681404,0.00003151398,0.000009000811,0.00003067728,0.004400057,0.0000718491,0.0002521598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9108214,"threshold_uncertainty_score":0.1773191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039029660543222,"score_gpt":0.2565901535607454,"score_spread":0.2361998569553131,"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."}}