{"id":"W4390755247","doi":"10.1016/j.jclepro.2023.140371","title":"The effects of environmental factors and plant diversity on forest carbon sequestration vary between eastern and western regions of China","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Science and Technology Program of Hunan Province; Natural Science Foundation of Hunan Province; Hunan Provincial Science and Technology Department; National Natural Science Foundation of China","keywords":"Carbon sequestration; Environmental science; Biomass (ecology); Forest ecology; Forest management; Soil carbon; Forest inventory; Ecology; Agroforestry; Vegetation (pathology); Ecosystem; Forest restoration; Geography; Soil water; Soil science; Biology; Carbon dioxide","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":[0.0001862163,0.00006701436,0.00009090483,0.00004712777,0.00007918847,0.00001488392,0.00005903514,0.00002409772,0.000003438206],"category_scores_gemma":[0.0000160039,0.00004212496,0.00002767766,0.00003879466,0.0001506668,0.0001922328,0.00008907107,0.00009526096,0.000001007515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003435617,"about_ca_system_score_gemma":0.000002432826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001583909,"about_ca_topic_score_gemma":0.00003542876,"domain_scores_codex":[0.9994487,0.00004188685,0.0001532724,0.00009125981,0.0001999998,0.00006490733],"domain_scores_gemma":[0.9997036,0.00004999028,0.0001419141,0.00007165896,0.000001644485,0.00003114728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003824229,0.00002602878,0.9920828,0.00006989355,0.00003623254,0.000003875251,0.001271144,0.0001491488,0.001548246,0.00003205489,0.0001878648,0.004554429],"study_design_scores_gemma":[0.00009852352,0.0004388267,0.9960471,0.00007478195,0.0000722717,0.00001229914,0.00005067553,0.00009966199,0.002162612,0.0002809773,0.000619393,0.00004292647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990792,0.00009550743,0.000004936996,0.000326539,0.000202957,0.0001052178,0.000002894678,0.000003322543,0.0001794851],"genre_scores_gemma":[0.999206,0.0002871238,0.000005297374,0.000003165323,0.0001253642,2.555043e-7,0.000002139217,0.000004339154,0.0003662861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004511503,"threshold_uncertainty_score":0.1717806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996886391572852,"score_gpt":0.2068853897202724,"score_spread":0.1969165258045439,"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."}}