{"id":"W3083276758","doi":"10.5194/egusphere-egu2020-8861","title":"TROPOMI SO2 column retrievals: validation, inter-comparison with other satellite data sets and algorithm evolution","year":2020,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Satellite; Algorithm; Environmental science; Chemistry; Computer science; 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":[0.005191124,0.00149456,0.0005507061,0.001453999,0.0006495524,0.001897531,0.001620333,0.00116526,0.001767764],"category_scores_gemma":[0.007625809,0.0003809175,0.001075189,0.00149578,0.0005125766,0.002079821,0.001098691,0.001186125,0.001569979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007419133,"about_ca_system_score_gemma":0.001036855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544428,"about_ca_topic_score_gemma":0.01358621,"domain_scores_codex":[0.9989145,0.0002259567,0.00009290256,0.0003343576,0.0003348678,0.00009744818],"domain_scores_gemma":[0.9987006,0.0003434261,0.00009845682,0.0003681019,0.0004291183,0.0000602773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001708985,0.0006259097,0.07051719,0.001114791,0.001887704,0.0004223094,0.0008315641,0.3779716,0.086643,0.006244957,0.05267698,0.3993549],"study_design_scores_gemma":[0.0003204136,0.0002719774,0.04801463,0.0001523502,0.0002244818,0.0002250115,0.0003462684,0.8678053,0.04500057,0.002838692,0.03461146,0.0001888584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7380992,0.004380756,0.1927014,0.002143729,0.001506685,0.0009132588,0.01997068,0.0178326,0.02245167],"genre_scores_gemma":[0.5721664,0.001317659,0.3543186,0.0008039117,0.0002699452,0.0005759494,0.06068445,0.004677893,0.005185207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01544428,"threshold_uncertainty_score":0.03070879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243512800194365,"score_gpt":0.2417467736435297,"score_spread":0.2193116456415861,"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."}}