{"id":"W4285592607","doi":"10.1111/gcb.16322","title":"Agroforestry perennials reduce nitrous oxide emissions and their live and dead trees increase ecosystem carbon storage","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Woodland; Perennial plant; Greenhouse gas; Grassland; Carbon sequestration; Biomass (ecology); Ecosystem; Agroforestry; Agronomy; Soil carbon; Windbreak; Carbon dioxide; Ecology; Soil water; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175636,0.0001430962,0.00009708245,0.0002588989,0.0002978415,0.0003812507,0.0001925245,0.00009614623,0.001107652],"category_scores_gemma":[0.0001061601,0.00005973113,0.00008770859,0.0001850842,0.0001705321,0.0001337912,0.0001528013,0.0001126006,0.0001042826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009434866,"about_ca_system_score_gemma":0.0006421654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1127844,"about_ca_topic_score_gemma":0.4381094,"domain_scores_codex":[0.9999473,0.000005784897,0.000002398247,0.00001096176,0.00001204609,0.00002155816],"domain_scores_gemma":[0.9998406,0.00000846584,0.00004012429,0.000009094257,0.00003557141,0.00006612021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000603479,0.0002886741,0.812994,0.0001088816,0.0001173405,0.0001282072,0.0003859077,0.0008343516,0.1525843,0.0002071768,0.0006057601,0.03114189],"study_design_scores_gemma":[0.000003242307,0.00003862827,0.9983759,0.000004030025,0.00000819945,0.0000155923,0.0001575776,0.0002294363,0.0008182309,0.00002984053,0.0003182669,0.000001121332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993864,0.00007866162,0.0000572043,0.000008952082,8.94868e-7,0.00000295786,0.0001086296,0.000004285158,0.0003519507],"genre_scores_gemma":[0.9991541,0.00006258058,0.0001858684,0.00001612011,9.243456e-7,0.000002834955,0.0001187119,9.0026e-7,0.0004579567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127844,"threshold_uncertainty_score":0.2242557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882384449517021,"score_gpt":0.2379149168686849,"score_spread":0.2090910723735147,"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."}}