{"id":"W4310359448","doi":"10.5194/amt-2022-315","title":"Vertical information of CO from TROPOMI total column measurements in context of the CAMS-IFS data assimilation scheme","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Environmental science; Troposphere; Trace gas; Context (archaeology); Data assimilation; Plume; Remote sensing; Meteorology; SCIAMACHY; Atmospheric sciences; Geography; Geology","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":[0.000310413,0.0005339116,0.0003324654,0.0004928333,0.0002664078,0.0004846816,0.0004286657,0.0004109557,0.001002037],"category_scores_gemma":[0.0007193818,0.000227542,0.0006113665,0.0007208625,0.0001964788,0.000428661,0.0003200349,0.0004528955,0.0003360534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005251627,"about_ca_system_score_gemma":0.0006875021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05001918,"about_ca_topic_score_gemma":0.05359993,"domain_scores_codex":[0.9998809,0.00001789176,0.000008591242,0.0000372327,0.000036178,0.00001909274],"domain_scores_gemma":[0.9998184,0.00001912303,0.00002051297,0.00005108091,0.00007852402,0.00001234813],"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":[0.0009306713,0.0003121086,0.16524,0.0003476709,0.0007480782,0.0002827866,0.000274621,0.6208913,0.08422921,0.002342679,0.01112926,0.1132717],"study_design_scores_gemma":[0.00008703348,0.00005769555,0.1516308,0.00004935405,0.0001017044,0.00005667564,0.00008823468,0.8210883,0.01954795,0.0005987599,0.006623112,0.00007036393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469576,0.0004747717,0.02989287,0.000288848,0.0002650977,0.00008567081,0.01334471,0.001379121,0.007311395],"genre_scores_gemma":[0.9664119,0.0001436855,0.02077379,0.00006605993,0.00003864885,0.00004577814,0.0115759,0.0001130617,0.0008313779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05001918,"threshold_uncertainty_score":0.09945607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339596925721048,"score_gpt":0.2472161886300698,"score_spread":0.213256496057965,"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."}}