{"id":"W7128653684","doi":"","title":"The global extent of the grassland biome and implications for the terrestrial carbon sink","year":2025,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada First Research Excellence Fund; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Svenska Forskningsrådet Formas; UK Research and Innovation; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; European Commission; Department of Agriculture, Environment and Rural Affairs, UK Government; Vetenskapsrådet; National Science Foundation","keywords":"Research council; Biodiversity; German; Biome; Excellence; Agriculture; Research program; Climate change; Environmental research","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153884,0.000280771,0.0002917826,0.00165677,0.0005267283,0.001533357,0.0003136359,0.0006559266,0.005302636],"category_scores_gemma":[0.002276231,0.0001217365,0.0002703245,0.003211748,0.001288611,0.002597651,0.001248027,0.0003812476,0.0003489539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007097306,"about_ca_system_score_gemma":0.0006993055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276328,"about_ca_topic_score_gemma":0.01770666,"domain_scores_codex":[0.9997923,0.00005197043,0.00001186173,0.00007794188,0.00002849692,0.00003745357],"domain_scores_gemma":[0.998693,0.0004752039,0.0002421893,0.0001236415,0.0002364157,0.0002295074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005838044,0.00006798006,0.6712129,0.002106776,0.0006137069,0.0007656989,0.003234181,0.006150801,0.01811864,0.02721254,0.01218608,0.257747],"study_design_scores_gemma":[0.00001476221,0.0000453861,0.9480674,0.0003453722,0.00009791121,0.0003128975,0.00287352,0.002363002,0.0005151478,0.02459665,0.02072537,0.00004275491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653438,0.06215517,0.004166259,0.03180458,0.0002899325,0.0000313721,0.00657304,0.0001736246,0.02946223],"genre_scores_gemma":[0.9917032,0.005135882,0.001336376,0.0004960473,0.00009577584,0.00001264413,0.0006687631,0.00003180502,0.0005196217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276328,"threshold_uncertainty_score":0.02537799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008774453766821922,"score_gpt":0.2110594864134648,"score_spread":0.2022850326466429,"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."}}