{"id":"W2144818662","doi":"10.1890/09-1376.1","title":"Is understory plant species diversity driven by resource quantity or resource heterogeneity?","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Understory; Ecology; Resource (disambiguation); Biodiversity; Ecosystem; Spatial heterogeneity; Species diversity; Biome; Disturbance (geology); Forest ecology; Diversity (politics); Geography; Biology; Agroforestry; Canopy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002161088,0.0001257486,0.0001783568,0.00003162619,0.0008421558,0.000008779472,0.0003169833,0.0001911178,0.00473638],"category_scores_gemma":[0.0000774322,0.0001132588,0.00005274237,0.00008484849,0.0007607233,0.00008350943,0.0008920922,0.0003011938,0.0007697538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122693,"about_ca_system_score_gemma":0.00000954344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009409687,"about_ca_topic_score_gemma":0.0551618,"domain_scores_codex":[0.9989909,0.00009579607,0.0001429422,0.0003426383,0.0001219007,0.0003058084],"domain_scores_gemma":[0.9993657,0.0002339811,0.00009139043,0.0002227831,0.000005448177,0.00008067165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003987354,0.00007688562,0.8878922,0.000002863495,0.00002971093,0.00001154542,0.0007845104,0.00006603135,0.001219788,0.0003522902,0.1095029,0.00002133987],"study_design_scores_gemma":[0.0002910002,0.0001225305,0.8606538,8.017177e-7,0.00001768377,0.00001378412,0.0002824049,0.0003394475,0.0002686568,0.0001833526,0.1376762,0.0001502941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794834,0.000009473262,0.00006156678,0.001668533,0.0002777923,0.0001181778,0.00004793254,0.00004874586,0.01828437],"genre_scores_gemma":[0.9890271,0.0000163853,0.0002197786,0.002002063,0.00003400533,0.000006429958,0.00002034046,0.000007572362,0.008666305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0550677,"threshold_uncertainty_score":0.9961734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177168789924216,"score_gpt":0.2292383857708971,"score_spread":0.2074666978716549,"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."}}