{"id":"W2148252262","doi":"10.1890/es13-00135.1","title":"Functional diversity and management mediate aboveground carbon stocks in small forest fragments","year":2013,"lang":"en","type":"article","venue":"Ecosphere","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biodiversity; Species richness; Ecosystem; Ecology; Environmental science; Carbon stock; Fragmentation (computing); Ecosystem services; Forest management; Agroforestry; Climate change; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007428163,0.00008842799,0.00008402076,0.000008892776,0.0001498265,0.00002451773,0.0001082349,0.00004174568,0.004787327],"category_scores_gemma":[8.183785e-7,0.00007326389,0.00001533991,0.00006852856,0.000009400493,0.0001742708,0.0006698131,0.00005147907,0.0009066533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007870834,"about_ca_system_score_gemma":0.000001025211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009517921,"about_ca_topic_score_gemma":0.05004184,"domain_scores_codex":[0.9993727,0.00001434874,0.00009969269,0.0002081638,0.0001203265,0.0001848223],"domain_scores_gemma":[0.9997728,0.0000112457,0.0000334889,0.0001088826,0.0000023278,0.00007120911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000600055,0.00003502731,0.995292,0.00002792783,0.00001237247,0.000008230894,0.0001818375,0.0007124188,0.000004764298,0.00001326724,0.00185915,0.001847012],"study_design_scores_gemma":[0.0004222116,0.00001858041,0.993388,0.0000150742,0.000007420454,0.000001036785,0.0001427952,0.004287881,0.000004529369,0.0008804199,0.0007329011,0.00009912614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513987,0.00006404935,0.000008519522,0.00008187578,0.0001258304,0.0002343383,0.000001341929,0.00001526147,0.04807007],"genre_scores_gemma":[0.9988956,0.00007417234,0.0001046362,0.0001262547,0.00002463911,0.00002795957,0.000004701092,0.000005318989,0.0007367376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04749687,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009888999956544983,"score_gpt":0.1634267028009353,"score_spread":0.1535377028443903,"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."}}