{"id":"W2052040587","doi":"10.2478/s11600-014-0211-z","title":"Interannual variability of tropospheric NO2 column over central Europe — observations from SCIAMACHY and GEM-AQ model simulations","year":2014,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"SCIAMACHY; Troposphere; Environmental science; Climatology; Atmospheric sciences; Column (typography); Spatial variability; Meteorology; Geology; Geography; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007880259,0.000132952,0.0002203668,0.000004794447,0.000145508,0.00004617247,0.0001691979,0.00004491771,0.0007620705],"category_scores_gemma":[0.00008614609,0.0001206246,0.00005137788,0.0002392252,0.0001239133,0.0003517179,0.0000309293,0.0001058136,0.00002627335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003819418,"about_ca_system_score_gemma":0.00004658713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423959,"about_ca_topic_score_gemma":0.0007731784,"domain_scores_codex":[0.998973,0.00009210085,0.0002362652,0.0002773043,0.0001724929,0.0002488589],"domain_scores_gemma":[0.999104,0.0003344076,0.0001097185,0.0002736553,0.00007075475,0.000107431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007488296,0.0001449928,0.920179,0.00002000422,0.00006293432,7.46162e-7,0.0009869448,0.06810531,0.00169196,0.0006783462,0.0004825262,0.007572349],"study_design_scores_gemma":[0.0001547881,0.00004746898,0.5350714,0.000004354165,0.00002603908,1.038927e-7,0.00002106535,0.4615266,0.00001015847,0.002493087,0.0005639221,0.00008099701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944364,0.00001440343,0.002305347,0.0001576461,0.0001046556,0.0001173828,0.0004170077,0.000032214,0.002414954],"genre_scores_gemma":[0.9956682,0.00001404582,0.003676822,0.0002349791,0.00009992906,7.152476e-7,0.0001970333,0.000005845901,0.0001024294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3934213,"threshold_uncertainty_score":0.8344137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008231311578216,"score_gpt":0.1994694670428026,"score_spread":0.1893871539270204,"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."}}