{"id":"W4387103520","doi":"10.5194/egusphere-2023-1955","title":"Assimilation of Carbonyl Sulfide (COS) fluxes within the adjoint-based data assimilation system–Nanjing University Carbon Assimilation System (NUCAS v1.0)","year":2023,"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":"University of Toronto","funders":"National Key Research and Development Program of China; Nanjing University; National Natural Science Foundation of China","keywords":"Data assimilation; Carbonyl sulfide; Environmental science; Assimilation (phonology); Ecosystem; Carbon cycle; Atmospheric sciences; Meteorology; Chemistry; Ecology; 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":[0.0006951565,0.0004728319,0.0003464266,0.0002499033,0.0005358377,0.0003419601,0.0003979141,0.0003468455,0.0005147149],"category_scores_gemma":[0.0006246465,0.0002623804,0.0004066667,0.0003041603,0.0002584686,0.0004449615,0.0003825538,0.0004738123,0.0001152856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005138,"about_ca_system_score_gemma":0.001169991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03010111,"about_ca_topic_score_gemma":0.03794593,"domain_scores_codex":[0.9998564,0.00003096081,0.00001238372,0.00004282222,0.00004554778,0.00001187594],"domain_scores_gemma":[0.999765,0.00003396588,0.00002879973,0.00004738,0.0001034087,0.00002134717],"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":[0.0005420152,0.0003554033,0.07551852,0.000199542,0.0003133133,0.0001678877,0.0003169136,0.7261746,0.09600618,0.00325584,0.004682123,0.09246757],"study_design_scores_gemma":[0.0000423917,0.00005094092,0.01145498,0.000004094083,0.00002022513,0.00001366777,0.00001485766,0.9762444,0.01064726,0.0002771172,0.001205362,0.0000245991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686028,0.0001873194,0.1241831,0.0001615432,0.0001975712,0.00009651458,0.001247082,0.002042113,0.003282004],"genre_scores_gemma":[0.953416,0.0000370673,0.04466977,0.00002647101,0.00001301154,0.00005296128,0.001231062,0.00004361178,0.0005100856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03010111,"threshold_uncertainty_score":0.05985183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668572015381349,"score_gpt":0.2232048050791778,"score_spread":0.1865190849253643,"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."}}