{"id":"W4207042469","doi":"10.1111/1365-2435.14009","title":"Functionally diverse tree stands reduce herbaceous diversity and productivity via canopy packing","year":2022,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Understory; Biology; Ecology; Herbaceous plant; Biodiversity; Species diversity; Species richness; Ecosystem; Biomass (ecology); Canopy; Forest ecology; Gamma diversity; Forest dynamics; Alpha diversity","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003536688,0.0001120904,0.0001352035,0.00004652281,0.003618212,0.000004715585,0.00009474874,0.00004987091,0.006792344],"category_scores_gemma":[0.00006036463,0.0001227,0.00003766455,0.0001672145,0.0003160981,0.0001413993,0.002008705,0.0002336798,0.00007460841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805037,"about_ca_system_score_gemma":0.00002776967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227921,"about_ca_topic_score_gemma":0.005132426,"domain_scores_codex":[0.9988695,0.0001407073,0.0001188314,0.0004097002,0.0002334314,0.000227844],"domain_scores_gemma":[0.9995773,0.0001554378,0.00008607425,0.0001043412,0.00002016706,0.0000567098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914895,0.0001504133,0.9797572,0.000003708989,0.00005978312,0.00001672997,0.0004836913,0.01178143,0.0003923762,0.0006904338,0.005506861,0.0009658191],"study_design_scores_gemma":[0.0004441249,0.0002638539,0.9885858,3.518593e-7,0.00002993873,0.00008303793,0.0003364978,0.0009560389,0.000008785743,0.003362519,0.005797539,0.000131488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913812,0.00003722332,0.0005562955,0.001505241,0.001288187,0.0001612163,0.00002687913,0.00004133932,0.005002453],"genre_scores_gemma":[0.9933844,0.000009762669,0.0001226312,0.0005294245,0.00007185155,0.00005861062,0.00002571787,0.000006278516,0.005791348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108254,"threshold_uncertainty_score":0.9976789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576585034794147,"score_gpt":0.2020526329870832,"score_spread":0.1862867826391417,"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."}}