{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003670062,0.001592577,0.0007322922,0.001076403,0.0008768748,0.001453193,0.002407318,0.001680584,0.005563485],"category_scores_gemma":[0.002531432,0.0004993503,0.001346334,0.002480997,0.0004431642,0.001929161,0.00169122,0.00136116,0.00168417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646076,"about_ca_system_score_gemma":0.004020147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04607667,"about_ca_topic_score_gemma":0.01686379,"domain_scores_codex":[0.9990495,0.0004188794,0.00005520732,0.0002308507,0.0001653659,0.00008006683],"domain_scores_gemma":[0.9988585,0.0001817694,0.00008640935,0.0002975586,0.0005054226,0.00007035101],"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":[0.0006904172,0.0002771975,0.01558615,0.0004040659,0.0009903559,0.0001580562,0.000171206,0.6554871,0.004485096,0.01647898,0.1882902,0.1169812],"study_design_scores_gemma":[0.001493038,0.0001436731,0.01415561,0.0002024385,0.0004171708,0.00004362323,0.0001965875,0.6978304,0.01171841,0.0253125,0.2483265,0.0001599386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.229998,0.003319209,0.2559633,0.01294034,0.005869312,0.001801787,0.3025597,0.03345612,0.1540923],"genre_scores_gemma":[0.5539657,0.001564859,0.1927391,0.002147404,0.0004678676,0.004537301,0.2239125,0.003899092,0.01676622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04607667,"threshold_uncertainty_score":0.09161693,"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."}}