{"id":"W4400829989","doi":"10.1029/2024gb008102","title":"Trends and Drivers of Terrestrial Sources and Sinks of Carbon Dioxide: An Overview of the TRENDY Project","year":2024,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Carbon sink; Environmental science; Carbon cycle; Biosphere; Global change; Sink (geography); Arid; Climate change; Terrestrial ecosystem; Atmospheric carbon cycle; Biogeochemical cycle; Climatology; Vegetation (pathology); Land cover; Land use, land-use change and forestry; Primary production; Greenhouse gas; Ecosystem; Atmospheric sciences; Land use; Ecology; Geography; Geology","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":[0.00006218383,0.0001178353,0.0001814849,0.000005756531,0.00001837073,0.00000611498,0.0001432086,0.00008584694,0.00003447955],"category_scores_gemma":[0.000009508025,0.00008011795,0.00006958665,0.0002421051,0.000909968,0.00005841268,0.000250507,0.00005813227,2.148343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004717615,"about_ca_system_score_gemma":0.000006115479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00259471,"about_ca_topic_score_gemma":0.00007273338,"domain_scores_codex":[0.9992116,0.00003217502,0.0001990004,0.0002243876,0.0002084804,0.000124359],"domain_scores_gemma":[0.9997107,0.00002225494,0.00007110817,0.000146587,9.620985e-7,0.0000484356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006592217,0.0001150576,0.8131196,0.00007963166,0.00004583877,0.000002357759,0.0003945606,0.0001526416,0.1006558,0.0001842403,0.00005106174,0.0851333],"study_design_scores_gemma":[0.0008871168,0.0003957614,0.9270632,0.0002460023,0.0002778497,0.00003563355,0.0008042754,0.006749498,0.0584999,0.002978734,0.001650289,0.0004117631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975683,0.001268856,0.000002814551,0.00006468977,0.00003985034,0.0000621999,0.00008795224,0.0000107973,0.0008945381],"genre_scores_gemma":[0.9991387,0.0002953401,0.0005198358,0.000009601207,0.00001199595,0.000001498073,0.000006295032,0.000004595167,0.00001213408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139436,"threshold_uncertainty_score":0.3922442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526130744257124,"score_gpt":0.2529306717434836,"score_spread":0.2376693643009124,"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."}}