{"id":"W2109763965","doi":"10.5194/bg-9-3571-2012","title":"The carbon budget of terrestrial ecosystems in East Asia over the last two decades","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; European Commission","keywords":"Environmental science; Carbon cycle; Terrestrial ecosystem; Carbon sink; East Asia; Climate change; Ecosystem; Atmospheric sciences; Climatology; China; Geography; Ecology; Geology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007628189,0.0001124882,0.0001027746,0.000005949488,0.0001960868,0.00003211238,0.0005426473,0.0000383694,0.00006501202],"category_scores_gemma":[0.0000299115,0.00005663762,0.00004474829,0.0003385068,0.0009973912,0.0001770569,0.0002178389,0.00008183294,0.00002188304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514755,"about_ca_system_score_gemma":0.000009017044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008254234,"about_ca_topic_score_gemma":0.004540481,"domain_scores_codex":[0.9987096,0.00009138737,0.0002266069,0.000175374,0.000409463,0.0003875379],"domain_scores_gemma":[0.9994977,0.00008703932,0.0001212551,0.0002218085,7.735995e-7,0.00007145025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007589585,0.00004285838,0.9942423,7.654456e-7,0.000002122157,3.318753e-7,0.0004113292,0.0007671833,0.001207041,0.0001344697,0.00005365178,0.003130329],"study_design_scores_gemma":[0.0002134732,0.00004400471,0.9720128,0.000007989078,0.000006209178,0.000005295999,0.001834809,0.01045789,0.0002404628,0.0001089483,0.01494998,0.0001181974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948072,0.0002150133,0.0000354088,0.0001493535,0.0005842232,0.0001680793,0.000002471602,0.000007891795,0.004030312],"genre_scores_gemma":[0.9994658,0.00004712862,0.0001971166,0.00003357066,0.0000961618,0.0000135718,5.546027e-7,0.000005383383,0.0001406977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222959,"threshold_uncertainty_score":0.9983499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009540861797802357,"score_gpt":0.2230430622183847,"score_spread":0.2135022004205824,"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."}}