{"id":"W4236061790","doi":"10.5194/acp-2020-88","title":"Effects of <i>a priori</i> profile shape assumptions oncomparisons between satellite NO <sub>2</sub> columns and model simulations","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"Canadian Space Agency; National Aeronautics and Space Administration","keywords":"A priori and a posteriori; Satellite; Data assimilation; Mathematics; Trace gas; Atmospheric sciences; Environmental science; Meteorology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003246715,0.0007486948,0.0004226837,0.000274788,0.0006353332,0.001019765,0.0007419579,0.001001663,0.0007258536],"category_scores_gemma":[0.01041129,0.000644538,0.000865964,0.0003030537,0.0006201267,0.0009797809,0.0006084492,0.000980472,0.0001361414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030333,"about_ca_system_score_gemma":0.0007331466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02637579,"about_ca_topic_score_gemma":0.01769892,"domain_scores_codex":[0.9989845,0.0004689888,0.0000871776,0.0001820217,0.0001680363,0.0001092676],"domain_scores_gemma":[0.993552,0.004437683,0.0005577939,0.0006854952,0.0006016195,0.0001654269],"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":[0.001199223,0.0002219068,0.03937825,0.00006387856,0.0002252455,0.0001461935,0.0001106654,0.929176,0.02263709,0.0006854675,0.0003169731,0.005839103],"study_design_scores_gemma":[0.0001016428,0.0002575473,0.01951469,0.00002135994,0.00007284664,0.00003173309,0.00006792566,0.957259,0.02201819,0.000272771,0.0003407417,0.00004164482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915803,0.00006947443,0.006472161,0.0001349942,0.0000432669,0.00003102189,0.0003240308,0.0002226802,0.001122007],"genre_scores_gemma":[0.9964278,0.00001988109,0.002975345,0.00005984222,0.000004246005,0.00001552463,0.0002558687,0.00006965068,0.0001717363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02637579,"threshold_uncertainty_score":0.05244458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350652678873503,"score_gpt":0.2304305347714723,"score_spread":0.2169240079827373,"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."}}