{"id":"W4400526337","doi":"10.1111/ele.14469","title":"Plant diversity decreases greenhouse gas emissions by increasing soil and plant carbon storage in terrestrial ecosystems","year":2024,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Monoculture; Greenhouse gas; Environmental science; Soil carbon; Ecosystem; Terrestrial ecosystem; Terrestrial plant; Biodiversity; Plant diversity; Carbon dioxide; Carbon fibers; Carbon sequestration; Agronomy; Species richness; Ecology; Soil water; Biology; Soil science; Materials science","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":[0.0003701295,0.0004054195,0.001020163,0.00007930533,0.0002030423,0.00006441371,0.000312706,0.0004560953,0.00002001307],"category_scores_gemma":[0.00008264627,0.0001728563,0.0002343338,0.0002386758,0.00009483429,0.00003894595,0.0004655611,0.0005315869,0.000009868144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371501,"about_ca_system_score_gemma":0.00003810484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0116784,"about_ca_topic_score_gemma":0.05081418,"domain_scores_codex":[0.9978338,0.0005631394,0.0004138767,0.000586691,0.0001606454,0.0004418],"domain_scores_gemma":[0.9987562,0.0007686788,0.0001892204,0.00008079739,0.000003626241,0.0002015128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001091947,0.001900182,0.1981356,0.01072679,0.003338322,0.01872834,0.001080348,0.000009054736,0.00326409,0.00006650038,0.118972,0.6426868],"study_design_scores_gemma":[0.001384083,0.0008073886,0.006046909,0.0103257,0.00378329,0.002358526,0.00029387,0.003001831,0.000007172758,0.00005525588,0.9688828,0.003053163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.65391,0.3445037,1.408762e-8,0.0002227958,0.000478217,0.0002913838,0.00050251,0.00006416764,0.00002721091],"genre_scores_gemma":[0.04042659,0.9574046,0.000003397369,0.0002793364,0.0004686925,0.00003877096,0.001347976,0.000006977206,0.00002368911],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8499108,"threshold_uncertainty_score":0.9949029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474902814669283,"score_gpt":0.2312580247762346,"score_spread":0.2065089966295418,"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."}}