{"id":"W4224277468","doi":"10.1111/ele.14012","title":"Globally, tree fecundity exceeds productivity gradients","year":2022,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific","funders":"Natural Environment Research Council; National Science Foundation of Sri Lanka; National Institute of Advanced Industrial Science and Technology; Narodowa Agencja Wymiany Akademickiej; Sight Research UK; Agence Nationale de la Recherche; U.S. Forest Service; U.S. Geological Survey; National Aeronautics and Space Administration; Belmont Forum; Gordon and Betty Moore Foundation; U.S. Department of Agriculture; National Science Foundation","keywords":"Fecundity; Ecology; Productivity; Biology; Climate change; Abundance (ecology); Biodiversity; Tropics; Global change; Plant ecology; Environmental science; Population","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":[0.002131674,0.0002232511,0.0003753178,0.0002672774,0.0006941202,0.001363141,0.0004347627,0.004107769,0.01122899],"category_scores_gemma":[0.005957149,0.0001555009,0.0002608939,0.0003614799,0.002011525,0.001740212,0.0008934963,0.004435329,0.005697254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136477,"about_ca_system_score_gemma":0.0004513382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444047,"about_ca_topic_score_gemma":0.002983764,"domain_scores_codex":[0.9992467,0.0001445015,0.00004029512,0.0003283413,0.0001666524,0.00007358719],"domain_scores_gemma":[0.9948303,0.002932719,0.0005856559,0.0005837107,0.0006135512,0.0004541108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005372876,0.00005560841,0.03266305,0.0003771201,0.0001280634,0.002721765,0.0005425892,0.0006198513,0.01027846,0.05115947,0.6260887,0.274828],"study_design_scores_gemma":[0.00007432941,0.0001223117,0.03937302,0.0001620113,0.00004826699,0.002772382,0.0005772432,0.001037711,0.001999808,0.0737223,0.8800663,0.0000444182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01918243,0.009089334,0.002788108,0.918027,0.006718334,0.00001283556,0.0002298575,0.0001881493,0.04376397],"genre_scores_gemma":[0.2918942,0.01213535,0.001899734,0.6072228,0.04098526,0.00006319237,0.0001965097,0.000192216,0.0454109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01122899,"threshold_uncertainty_score":0.03756469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008695226298292122,"score_gpt":0.211182770289481,"score_spread":0.2024875439911889,"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."}}