{"id":"W4226215617","doi":"10.5194/amt-14-7929-2021","title":"Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta; University of Saskatchewan; Environment and Climate Change Canada","funders":"Netherlands Space Office; European Space Agency; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Environmental science; Air quality index; Satellite; Plume; Atmospheric sciences; Aerosol; Emission inventory; Troposphere; Nitrogen dioxide; NOx; Meteorology; Air pollution; Remote sensing; Combustion","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005036129,0.0002502292,0.0003252667,0.000001531199,0.0002359838,0.00007564177,0.0001536433,0.0001332057,0.001867484],"category_scores_gemma":[0.000227045,0.0001993125,0.00005577555,0.0002900347,0.000114693,0.0001731761,0.00003095694,0.000170286,0.000008251593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002387965,"about_ca_system_score_gemma":0.0001389267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148258,"about_ca_topic_score_gemma":0.0002409639,"domain_scores_codex":[0.998185,0.0002855859,0.0002674152,0.0005085762,0.0004377166,0.0003156428],"domain_scores_gemma":[0.9989894,0.0001816873,0.0001639526,0.0003076482,0.0001721212,0.0001851853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008497662,0.0000348718,0.258133,0.00003153935,0.0001455988,0.00008428723,0.0001955482,0.00004454319,0.7050067,0.00001589328,0.0002224975,0.03600061],"study_design_scores_gemma":[0.0002970395,0.000117454,0.02712239,0.0001049064,0.00009577103,0.00005273161,0.0004993865,0.0002646875,0.9653209,0.001361942,0.004414298,0.0003484779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613185,0.002181777,0.1321237,0.0005031418,0.00005831719,0.0002237796,0.0000149371,0.0003211069,0.003254682],"genre_scores_gemma":[0.5871288,0.0001424159,0.4123844,0.0001007083,0.00006762081,0.000008378017,0.00006688255,0.000008327978,0.00009246977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802607,"threshold_uncertainty_score":0.999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04823647518065115,"score_gpt":0.2457089269912652,"score_spread":0.1974724518106141,"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."}}