{"id":"W2915841000","doi":"10.5194/essd-10-405-2018","title":"Global Carbon Budget 2017","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1153,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"H2020 European Research Council; Institut national des sciences de l'Univers; Natural Environment Research Council; Institut Polaire Français Paul Emile Victor; Ministry of Education, India; National Institute of Water and Atmospheric Research; National Aeronautics and Space Administration; Ministry of Environment; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Oceanic and Atmospheric Administration; Deutsche Forschungsgemeinschaft; Sight Research UK; Horizon 2020 Framework Programme; Bundesministerium für Verkehr und Digitale Infrastruktur; Norges Forskningsråd; Bundesministerium für Bildung und Forschung","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Climatology; Atmospheric sciences; Deforestation (computer science); Global change; Carbon dioxide; Global warming; Fossil fuel; Geology; Oceanography; Ecosystem; Ecology","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":[0.0009368914,0.001727323,0.0008105738,0.002482782,0.0006825432,0.003839936,0.001304993,0.001649361,0.2024297],"category_scores_gemma":[0.001650238,0.0005680288,0.0007279068,0.005360814,0.0005133325,0.003437086,0.002127791,0.002066714,0.1539024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068811,"about_ca_system_score_gemma":0.0051088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680849,"about_ca_topic_score_gemma":0.01170478,"domain_scores_codex":[0.9994559,0.00006112417,0.00003209292,0.0001282903,0.0002299111,0.0000927213],"domain_scores_gemma":[0.9994044,0.00003633457,0.00004012981,0.00009282031,0.0003691218,0.00005719949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009624998,0.00002976202,0.0009680143,0.0007280648,0.00005726264,0.00007435133,0.00003330669,0.001322627,0.0007219217,0.0356572,0.7806443,0.1796669],"study_design_scores_gemma":[0.00001119701,0.000004857426,0.0003995806,0.0001012436,0.00000582119,0.00002001619,0.00001317271,0.0001801738,0.0001504079,0.003398384,0.9957089,0.000006118967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002408059,0.01574594,0.00697347,0.01033197,0.007113146,0.0003750584,0.3119977,0.004125569,0.6409291],"genre_scores_gemma":[0.05149093,0.03767581,0.01466438,0.003819493,0.001867206,0.001335056,0.4382121,0.004033257,0.4469017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2024297,"threshold_uncertainty_score":0.6771947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575662133304931,"score_gpt":0.2453062874037535,"score_spread":0.2295496660707042,"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."}}