{"id":"W2884755452","doi":"10.1175/bams-d-17-0212.1","title":"The Global N2O Model Intercomparison Project","year":2018,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; State Key Laboratory of Urban and Regional Ecology; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute for Environmental Studies; European Commission; University of Bern; Auburn University; Climate Program Office; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Lunds Universitet; National Key Research and Development Program of China; Emory University; National Science Foundation","keywords":"Biosphere; Environmental science; Greenhouse gas; Benchmarking; Terrestrial ecosystem; Earth system science; Global change; Atmospheric sciences; Ecosystem; Climate change; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003828899,0.0001692574,0.0002242747,5.089967e-7,0.0004055218,0.00001717705,0.0009202312,0.00005512688,0.0003293345],"category_scores_gemma":[0.00006197687,0.00008210533,0.0003220925,0.0002316563,0.005827216,0.00001350711,0.001069731,0.000179946,0.0001405368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328953,"about_ca_system_score_gemma":0.000007844527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008777866,"about_ca_topic_score_gemma":0.00002411054,"domain_scores_codex":[0.99858,0.0001453361,0.0002428297,0.0003031467,0.0003563646,0.0003723315],"domain_scores_gemma":[0.9991392,0.00009015284,0.0002723279,0.0004337709,0.000005744417,0.00005880891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006705583,0.000734427,0.5009418,0.000008518551,0.0002601751,0.000001440405,0.0009801874,0.05940985,0.002308382,0.001651834,0.3231819,0.109851],"study_design_scores_gemma":[0.0005450165,0.001391602,0.3302621,0.000009725295,0.0001111749,0.00001670796,0.002102779,0.2637536,0.0002730855,0.006100004,0.3948599,0.0005743667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740502,0.00002865013,0.01101982,0.003902554,0.00008005396,0.0002382834,0.000004169714,0.00003856952,0.01063768],"genre_scores_gemma":[0.9420025,0.00008213006,0.05349874,0.003538777,0.00003855578,0.00001827023,3.593395e-7,0.000009123562,0.0008115158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043437,"threshold_uncertainty_score":0.9968783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011610324720302,"score_gpt":0.2465616051676998,"score_spread":0.2349512804473979,"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."}}