{"id":"W2112051870","doi":"10.1111/geb.12188","title":"Multiple drivers of plant diversity in forest ecosystems","year":2014,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Lakehead University","funders":"Canadian Forest Service; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Understory; Dominance (genetics); Canopy; Species evenness; Ecology; Species diversity; Alpha diversity; Ecosystem; Biodiversity; Geography; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001059777,0.0003910295,0.0003943385,0.001115662,0.0006699596,0.002046541,0.0004682895,0.0004282731,0.001978092],"category_scores_gemma":[0.002258772,0.0003778005,0.0006332374,0.0008018933,0.0009019128,0.0007280601,0.001074781,0.0004010865,0.0001701934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078742,"about_ca_system_score_gemma":0.0005882145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02956077,"about_ca_topic_score_gemma":0.06081396,"domain_scores_codex":[0.9994705,0.0001754993,0.00002356082,0.0001239409,0.00007787506,0.0001285768],"domain_scores_gemma":[0.9985198,0.0006541657,0.0002942286,0.00007934077,0.000144597,0.0003077344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005015608,0.00002390654,0.9775934,0.00005048437,0.000258609,0.000144837,0.0002137008,0.01417772,0.001252064,0.0009874349,0.000196825,0.005050881],"study_design_scores_gemma":[0.000004964881,0.00002103124,0.9595875,0.00001995133,0.00004876056,0.0001514902,0.0003921292,0.03673251,0.0001271931,0.00239205,0.0005012376,0.00002118104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968981,0.0003442001,0.001520702,0.00008670852,0.000003848417,0.000006950716,0.0001592722,0.00002324953,0.0009571255],"genre_scores_gemma":[0.9995765,0.00005242035,0.0001893421,0.000005865788,0.000002778664,0.000002293687,0.00004225862,0.000003130898,0.0001253294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02956077,"threshold_uncertainty_score":0.05877745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004998963018242634,"score_gpt":0.1823970657446627,"score_spread":0.17739810272642,"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."}}