{"id":"W1985991676","doi":"10.1029/2010jd014443","title":"Sensitivity of a subregional scale atmospheric inverse CO<sub>2</sub>modeling framework to boundary conditions","year":2010,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of Waterloo; University of California, Davis; U.S. Department of Energy; Oregon State University; Purdue University; Office of Science; U.S. Department of Agriculture","keywords":"Biosphere; Environmental science; Mesoscale meteorology; Atmospheric sciences; Mixing ratio; Inversion (geology); Flux (metallurgy); Fossil fuel; Atmospheric model; Climatology; Meteorology; Geology; Physics; Geomorphology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009947091,0.0005751937,0.0003318014,0.0002204974,0.0003777034,0.0009264673,0.0009161226,0.00062221,0.0007990454],"category_scores_gemma":[0.001688148,0.0003480841,0.0005674387,0.000197953,0.0004147259,0.0007399328,0.0006867681,0.000999425,0.0001119689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005096,"about_ca_system_score_gemma":0.001054634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05512812,"about_ca_topic_score_gemma":0.0279707,"domain_scores_codex":[0.9997748,0.00009963128,0.00001023108,0.00004770401,0.00003867996,0.00002895006],"domain_scores_gemma":[0.9995807,0.0001976504,0.00005449104,0.00005546953,0.00007975272,0.00003204863],"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":[0.00004406368,0.00002850184,0.004824389,0.000009115872,0.00004065771,0.00002261689,0.00001926454,0.9882799,0.002289086,0.001589774,0.0001302857,0.002722388],"study_design_scores_gemma":[0.00001149187,0.000006636821,0.0007250471,0.000001576466,0.000006980307,0.000002977409,0.00000615445,0.9977993,0.0009262179,0.0003264178,0.0001827972,0.000004399562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725438,0.0001210849,0.1168012,0.000613242,0.00004261759,0.00006083638,0.0008062514,0.000673654,0.008337359],"genre_scores_gemma":[0.9794418,0.00004007616,0.01969284,0.00004785678,0.000007755564,0.00003288042,0.0002758931,0.00005667059,0.0004043606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05512812,"threshold_uncertainty_score":0.1096145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654023045037237,"score_gpt":0.2892311390973945,"score_spread":0.2726909086470221,"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."}}