{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008360579,0.0001531423,0.0001345347,0.000006082926,0.000422917,0.00009317679,0.002355363,0.00004682513,0.0002964627],"category_scores_gemma":[0.00003578764,0.000130672,0.00001802714,0.0006720322,0.002297139,0.0007510496,0.00232745,0.00005477773,0.001738637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791676,"about_ca_system_score_gemma":0.00003743479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605535,"about_ca_topic_score_gemma":0.0003393431,"domain_scores_codex":[0.9976104,0.00003104515,0.0002046238,0.0008215362,0.0008090013,0.0005233849],"domain_scores_gemma":[0.9978563,0.00000787577,0.00009539125,0.001794315,0.000006080046,0.0002400024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000405442,0.0001621621,0.9396765,0.00003076206,0.00001928842,0.00008822086,0.0006099308,0.005533193,0.004712471,0.00132331,0.01175992,0.03604364],"study_design_scores_gemma":[0.00032014,0.0001687848,0.5114785,0.00003810772,0.00002034718,0.0001969692,0.0009157161,0.4467234,0.0001404058,0.00005145074,0.0394335,0.0005126867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600027,0.00002506913,0.004660906,0.00007668404,0.0008801618,0.0002232416,0.0000845336,0.0001165296,0.1339302],"genre_scores_gemma":[0.9882903,0.000003768626,0.01078006,0.0001059531,0.0001258609,0.000002840293,0.00001649824,0.000006981958,0.0006677087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4411902,"threshold_uncertainty_score":0.9990386,"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."}}