{"id":"W2118442798","doi":"10.5194/acp-10-8839-2010","title":"Evaluation of a regional air quality forecast model for tropospheric NO <sub>2</sub> columns using the OMI/Aura satellite tropospheric NO <sub>2</sub> product","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Troposphere; Environmental science; Ozone Monitoring Instrument; Climatology; Atmospheric sciences; Satellite; Air quality index; Meteorology; Tropospheric ozone; Geography; Geology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051365,0.0009451695,0.0006811672,0.0002105738,0.0004426058,0.0007538254,0.001165823,0.0007471172,0.001312885],"category_scores_gemma":[0.001686139,0.0003903898,0.0006813668,0.0002268006,0.0002619934,0.0005993627,0.0003252473,0.0006548592,0.0003955697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837542,"about_ca_system_score_gemma":0.001733222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1846012,"about_ca_topic_score_gemma":0.07857752,"domain_scores_codex":[0.999773,0.00005910659,0.00001066069,0.00008046442,0.00005016106,0.00002670589],"domain_scores_gemma":[0.9991894,0.0003109049,0.00006830586,0.00005030846,0.0002972138,0.00008389811],"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":[0.000307807,0.0001583203,0.01426064,0.00002525969,0.0001124668,0.00005359985,0.0000243239,0.9727086,0.003345222,0.0001575981,0.001098985,0.007747151],"study_design_scores_gemma":[0.00004011,0.00004049246,0.00142204,0.000001308286,0.00001604514,0.000002548357,0.000008422868,0.9976706,0.000679901,0.00002245237,0.00009115793,0.000004821564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802396,0.000126482,0.01221445,0.0003300143,0.00008412961,0.00007658402,0.00150584,0.002169315,0.003253646],"genre_scores_gemma":[0.9878748,0.00004824968,0.009453842,0.00006549971,0.00001512186,0.00004532414,0.001635651,0.0001209175,0.0007405916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846012,"threshold_uncertainty_score":0.3670534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106353789882698,"score_gpt":0.2545233661716655,"score_spread":0.2234598282728385,"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."}}