{"id":"W4225278584","doi":"10.1073/pnas.2013171119","title":"Higher tree diversity is linked to higher tree mortality","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Université du Québec à Montréal","funders":"U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Natural Resources Canada; U.S. Department of Agriculture","keywords":"Biome; Ecology; Forest ecology; Temperate rainforest; Species richness; Taiga; Temperate forest; Ecosystem; Forest dynamics; Productivity; Temperate climate; Agroforestry; Species diversity; Biodiversity; Diversity (politics); Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005880469,0.0002344019,0.0002344117,0.0003776609,0.0003118918,0.0006144418,0.0001943063,0.0003479538,0.00388145],"category_scores_gemma":[0.002041877,0.00009353543,0.0004196209,0.0003229398,0.0002601693,0.0002857067,0.0004122931,0.000628784,0.0002372608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321891,"about_ca_system_score_gemma":0.0001738134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003410426,"about_ca_topic_score_gemma":0.004985677,"domain_scores_codex":[0.9997737,0.00007397918,0.00001185851,0.00005874698,0.00002015299,0.00006171362],"domain_scores_gemma":[0.9972829,0.001138667,0.0007318559,0.0001481314,0.0001299514,0.0005684771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005432943,0.00002579035,0.9945074,0.00001571166,0.0001263066,0.0001046652,0.00004984413,0.0007886437,0.0009874915,0.00009209467,0.0001237161,0.003123985],"study_design_scores_gemma":[0.000001558701,0.0000245385,0.998135,0.000005288609,0.00002415401,0.0001606942,0.00006723231,0.001094125,0.00009219141,0.000215054,0.0001770656,0.000003105019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973526,0.0006018529,0.000772623,0.0001625806,0.00001611899,0.000002181436,0.0001505977,0.00001386999,0.0009274771],"genre_scores_gemma":[0.9995011,0.0001037121,0.00008993625,0.00002130107,0.0000132553,9.444016e-7,0.00009404139,0.000001859934,0.0001738864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00388145,"threshold_uncertainty_score":0.01298475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05346310062145686,"score_gpt":0.2952385811460441,"score_spread":0.2417754805245872,"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."}}