{"id":"W4214703510","doi":"10.1111/gcbb.12934","title":"Quantifying past, current, and future forest carbon stocks within agroforestry systems in central Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agriculture and Agri-Food Canada; National Natural Science Foundation of China; Alberta Biodiversity Monitoring Institute; China Scholarship Council; Ministry of Education","keywords":"Windbreak; Agroforestry; Carbon sequestration; Environmental science; Land use; Hectare; Land use, land-use change and forestry; Carbon stock; Climate change; Geography; Forestry; Agriculture; Ecology; Carbon dioxide; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758715,0.0002334965,0.0002865105,0.00002144286,0.0003797005,0.00006173226,0.0002863095,0.00008385784,0.00003901311],"category_scores_gemma":[0.000007719321,0.0001087119,0.00004794111,0.0004013537,0.00004145252,0.00007613614,0.0001724945,0.0003226715,4.925971e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997349,"about_ca_system_score_gemma":0.00007781898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9260901,"about_ca_topic_score_gemma":0.9760948,"domain_scores_codex":[0.9980314,0.0002090965,0.0003797196,0.0004265958,0.000368565,0.0005845661],"domain_scores_gemma":[0.999441,0.00008125838,0.0001734535,0.00008371538,0.0000201241,0.0002005041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000682574,0.00006364821,0.9841517,0.00004116956,0.00001511044,0.00005959837,0.0002012966,0.002597956,0.001231305,0.00301965,0.001472368,0.00707794],"study_design_scores_gemma":[0.0003311755,0.0002416274,0.717198,0.00005265679,0.00001155252,0.00009614803,0.00522791,0.003963982,0.00004095856,0.00003935005,0.2722698,0.0005268087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942025,0.00211739,2.247366e-7,0.0007305625,0.002364654,0.0002129917,0.00006437899,0.00002637833,0.0002809209],"genre_scores_gemma":[0.9978421,0.00003351676,0.000001657738,0.00005857828,0.001513252,0.0000788305,0.0001650343,0.000002627524,0.0003043568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707975,"threshold_uncertainty_score":0.443314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810869295837332,"score_gpt":0.2039203510552106,"score_spread":0.1858116580968373,"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."}}