{"id":"W4294052639","doi":"10.1038/s41561-022-01004-2","title":"Reservoir CO2 and CH4 emissions and their climate impact over the period 1900–2060","year":2022,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Radiative forcing; Methane; Environmental science; Greenhouse gas; Carbon dioxide; Atmospheric sciences; Carbon cycle; Forcing (mathematics); Radiative transfer; Methane emissions; Atmospheric methane; Global warming; Climatology; Flux (metallurgy); Climate change; Carbon fibers; Ecosystem; Oceanography; Geology; Chemistry; 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":[0.0003067252,0.0002801949,0.0002100753,0.0008921756,0.0002535649,0.0007249076,0.0003204003,0.000403846,0.002085285],"category_scores_gemma":[0.001067418,0.0002569469,0.00050601,0.00206077,0.0003813925,0.0009368754,0.0006879121,0.0005783146,0.0004090354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158219,"about_ca_system_score_gemma":0.0009164652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08574581,"about_ca_topic_score_gemma":0.09371975,"domain_scores_codex":[0.9998766,0.00001126848,0.00001357685,0.00002672802,0.00002242829,0.00004936345],"domain_scores_gemma":[0.9995983,0.00006619509,0.0001427958,0.00002378791,0.0001085471,0.00006045156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001479194,0.0001629289,0.9180943,0.0005834685,0.0008742622,0.00109246,0.00056617,0.02951267,0.004471725,0.006375836,0.01202668,0.02476019],"study_design_scores_gemma":[0.00002968014,0.00005755841,0.9744674,0.00006312693,0.0001571813,0.0003401489,0.0002973124,0.01021478,0.001396248,0.0007615447,0.01217506,0.00004000929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972022,0.001766566,0.0003966955,0.0008078885,0.0001030365,0.000005584159,0.020867,0.00006967281,0.003961619],"genre_scores_gemma":[0.9909848,0.0007594278,0.0001350705,0.00004909858,0.00003747729,0.000005074782,0.007103058,0.00001166981,0.0009143375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08574581,"threshold_uncertainty_score":0.1704934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003821098233177125,"score_gpt":0.2225390238781878,"score_spread":0.2187179256450107,"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."}}