{"id":"W4380788350","doi":"10.5194/amt-16-3027-2023","title":"Vertical information of CO from TROPOMI total column measurements in context of the CAMS-IFS data assimilation scheme","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Environmental science; Troposphere; Trace gas; Context (archaeology); Aerosol; Data assimilation; Remote sensing; Meteorology; Plume; Atmosphere (unit); SCIAMACHY; Atmospheric sciences; Geology; Geography","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":[0.0003414543,0.0005624925,0.0003703811,0.0005143431,0.0002895625,0.0005213062,0.0004488803,0.000431265,0.001004259],"category_scores_gemma":[0.000732114,0.0002550383,0.0006463237,0.0007325041,0.0002090543,0.0004364426,0.0003422628,0.0004496962,0.0003254957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076226,"about_ca_system_score_gemma":0.0007272603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05223955,"about_ca_topic_score_gemma":0.05555204,"domain_scores_codex":[0.9998794,0.0000181161,0.0000093362,0.00003678181,0.00003601069,0.00002043678],"domain_scores_gemma":[0.9998148,0.00002013856,0.00002158513,0.00005106358,0.00007927285,0.0000131724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001011798,0.0003031027,0.1541062,0.0002699252,0.0006725137,0.0002369666,0.000239501,0.6594763,0.0738188,0.001846222,0.007850961,0.1001677],"study_design_scores_gemma":[0.00009009242,0.0000553655,0.1290265,0.00003956726,0.00008532919,0.00004450338,0.00007374759,0.8492298,0.01649917,0.0004687698,0.004325672,0.00006157201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614527,0.0003496218,0.02110201,0.000238864,0.0001893495,0.0000761258,0.009579344,0.001076052,0.00593593],"genre_scores_gemma":[0.9717586,0.0001066293,0.01815542,0.00005814312,0.00003210322,0.00004247995,0.009000634,0.00009590577,0.0007501326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05223955,"threshold_uncertainty_score":0.1038709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108786824729089,"score_gpt":0.2480077704171114,"score_spread":0.2069199021698206,"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."}}