{"id":"W2810098250","doi":"10.5194/essd-10-2069-2018","title":"The Berkeley High Resolution Tropospheric NO <sub>2</sub> product","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Smithsonian Astrophysical Observatory; University of California Berkeley; National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Troposphere; Product (mathematics); Meteorology; Ozone Monitoring Instrument; A priori and a posteriori; Satellite; Atmospheric sciences; Remote sensing; Image resolution; Climatology; Geology; Geography; Physics; Mathematics; Optics","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":[0.0007328462,0.0007832208,0.0006503431,0.0008508915,0.0005341845,0.001546355,0.001393621,0.0006831396,0.02960948],"category_scores_gemma":[0.00152395,0.0006190378,0.0005418445,0.001328822,0.0001746381,0.001509306,0.0007760471,0.001204257,0.02540949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418472,"about_ca_system_score_gemma":0.0009774454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03297388,"about_ca_topic_score_gemma":0.04348265,"domain_scores_codex":[0.9993455,0.00003726088,0.00002764822,0.0001224773,0.0004077239,0.00005948817],"domain_scores_gemma":[0.9990741,0.00005211478,0.00006288377,0.0002345694,0.0005174736,0.00005882894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005199858,0.0001135974,0.01385388,0.0004696959,0.0001805676,0.0001972817,0.0000780328,0.006884782,0.01478801,0.002266269,0.8361231,0.1245249],"study_design_scores_gemma":[0.0003629771,0.00006339656,0.02864232,0.00009590825,0.0000818568,0.0001068777,0.00005317449,0.02343577,0.01744584,0.001233285,0.9283575,0.0001210825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03695827,0.001108885,0.03604284,0.0009260981,0.001263424,0.0003301705,0.7453593,0.06856113,0.1094499],"genre_scores_gemma":[0.05863199,0.0004826076,0.07918414,0.0005103418,0.0002016949,0.000290598,0.8302177,0.008542999,0.02193804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03297388,"threshold_uncertainty_score":0.09905356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016400638922719,"score_gpt":0.2189591656552351,"score_spread":0.2025585267325161,"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."}}