{"id":"W2114673832","doi":"10.5194/bg-7-2351-2010","title":"Trends and regional distributions of land and ocean carbon sinks","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy; Fonds Québécois de la Recherche sur la Nature et les Technologies; Eidgenössische Technische Hochschule Zürich; University of Leeds; National Oceanic and Atmospheric Administration; Ford Motor Company","keywords":"Sink (geography); Carbon sink; Environmental science; Biogeochemical cycle; Northern Hemisphere; Atmospheric sciences; Climatology; Climate change; Geology; Oceanography; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000931813,0.00006479435,0.00006549041,0.000006645454,0.00009990274,0.0000120031,0.00008868674,0.00004124997,0.00009303519],"category_scores_gemma":[0.000007768318,0.00004996062,0.0000135911,0.0001555936,0.001425587,0.00007796306,0.0001056986,0.0000565985,9.948808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009083304,"about_ca_system_score_gemma":0.000003018627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561199,"about_ca_topic_score_gemma":0.0002431858,"domain_scores_codex":[0.9994644,0.000006972381,0.00008038793,0.0001825293,0.0001449105,0.0001208285],"domain_scores_gemma":[0.9997819,0.00001625439,0.00004014016,0.00008166979,0.000001077756,0.00007896891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001898538,0.00002013322,0.9864147,8.509337e-7,9.799052e-7,4.736523e-7,0.00005742158,0.00001339717,0.004119942,0.0001606678,0.00003552172,0.009174065],"study_design_scores_gemma":[0.00007561196,0.00004655413,0.9932191,0.000001592506,0.00000537104,0.00001361621,0.00005186667,0.003251581,0.0001319194,0.0003860063,0.002744739,0.00007202151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977249,0.00003506228,0.00006480981,0.0003340805,0.00005603542,0.00002267097,0.000009240349,0.00000799898,0.00174522],"genre_scores_gemma":[0.9969597,0.00005447103,0.002696365,0.00002688923,0.00001054727,7.052592e-7,0.000002966514,0.000002118154,0.0002461779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009102043,"threshold_uncertainty_score":0.5252634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006169357876008981,"score_gpt":0.1999465487749752,"score_spread":0.1937771908989662,"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."}}