{"id":"W2345920995","doi":"10.1016/j.foreco.2016.04.020","title":"Significant effects of biodiversity on forest biomass during the succession of subtropical forest in south China","year":2016,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Biodiversity; Phylogenetic diversity; Biomass (ecology); Ecological succession; Ecology; Species richness; Species diversity; Biology; Tropical and subtropical moist broadleaf forests; Diversity index; Forest ecology; Gamma diversity; Alpha diversity; Ecosystem; Subtropics; Phylogenetic tree","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136078,0.0002830866,0.0002480609,0.001141621,0.0007938702,0.0005149755,0.0003850968,0.0002980499,0.001153431],"category_scores_gemma":[0.0005855762,0.0002345125,0.0004355519,0.0009090261,0.0008013647,0.0004804689,0.0008049603,0.0002944884,0.00009245022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174486,"about_ca_system_score_gemma":0.0009503515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04226574,"about_ca_topic_score_gemma":0.1514276,"domain_scores_codex":[0.9997783,0.0000374653,0.00001936965,0.00003925858,0.00002983811,0.0000957055],"domain_scores_gemma":[0.999429,0.00007825911,0.0001505716,0.00002941781,0.00006822294,0.0002443554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429773,0.00003592028,0.9939736,0.0000200337,0.00007205584,0.0002344095,0.0007223593,0.0002362188,0.002527227,0.0000890208,0.00005320376,0.001893131],"study_design_scores_gemma":[7.559694e-7,0.000007273864,0.9996125,0.000001096381,0.000004583187,0.00001533599,0.0002278504,0.00007946487,0.00001772411,0.00001160524,0.00002056235,0.00000115144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998037,0.00004076297,0.000008353508,0.00001260892,0.000001146848,6.957496e-7,0.00002360577,5.870343e-7,0.0001084968],"genre_scores_gemma":[0.9998268,0.0000244202,0.00001050371,0.000005071044,0.000001835,0.000001099177,0.00004649071,4.625535e-7,0.0000833262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04226574,"threshold_uncertainty_score":0.08403945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00362335271287476,"score_gpt":0.1846475676755192,"score_spread":0.1810242149626445,"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."}}