{"id":"W4232234127","doi":"10.5194/acp-2020-1008","title":"10–year satellite–constrained fluxes of ammonia improve performance of chemistry transport models","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Norges Forskningsråd; Fonds De La Recherche Scientifique - FNRS","keywords":"Ammonia; Environmental science; Satellite; Atmospheric sciences; Agriculture; Chemistry; Geography; Engineering; Physics","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":[0.0006445803,0.001330803,0.0007549648,0.0004715491,0.0006495226,0.001121485,0.000915458,0.001637995,0.002209644],"category_scores_gemma":[0.001459376,0.0005692618,0.001516951,0.0005381095,0.0004245152,0.001268421,0.0004962514,0.001054711,0.0003901513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477036,"about_ca_system_score_gemma":0.00190955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.113311,"about_ca_topic_score_gemma":0.05259359,"domain_scores_codex":[0.999799,0.00005430661,0.00001490433,0.0000762591,0.00002132518,0.00003427415],"domain_scores_gemma":[0.9994785,0.0002266512,0.00005061145,0.0000489846,0.0001414343,0.00005385594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006865478,0.00007315453,0.007471685,0.00003117568,0.00009516632,0.00003718296,0.0000125487,0.9882945,0.0008961261,0.0002321193,0.0005260026,0.002261759],"study_design_scores_gemma":[0.00003577941,0.00001337951,0.001302314,0.000004256842,0.00001513338,0.000002993092,0.000008711811,0.9978455,0.0004098372,0.0001176383,0.0002368049,0.00000748903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711222,0.0006336797,0.01526757,0.0007333955,0.000227676,0.00006626141,0.00279211,0.001756999,0.007400064],"genre_scores_gemma":[0.991844,0.0001193847,0.005125997,0.00009189832,0.0000345471,0.00002617122,0.001895717,0.0001415297,0.0007207784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113311,"threshold_uncertainty_score":0.2253029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697142818366254,"score_gpt":0.2125617735392099,"score_spread":0.1955903453555473,"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."}}