{"id":"W2097996669","doi":"10.1038/nature04030","title":"Density dependence explains tree species abundance and diversity in tropical forests","year":2005,"lang":"en","type":"article","venue":"Nature","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":337,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biological dispersal; Abundance (ecology); Ecology; Relative abundance distribution; Tropical forest; Relative species abundance; Mechanism (biology); Species diversity; Tree (set theory); Biology; Mathematics; Physics","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":[0.0006900951,0.0001392521,0.0002259097,0.0005684791,0.0004963983,0.0006740851,0.0004311374,0.0004389872,0.00221996],"category_scores_gemma":[0.00434555,0.0003411113,0.0003479143,0.0005249334,0.0008444352,0.0007704954,0.0004179286,0.0003936981,0.0002552582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005578769,"about_ca_system_score_gemma":0.0002905761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060749,"about_ca_topic_score_gemma":0.03152558,"domain_scores_codex":[0.9998528,0.00005078094,0.000007624702,0.0000325899,0.00001711282,0.00003908983],"domain_scores_gemma":[0.9962231,0.002445047,0.0005176912,0.0002657664,0.0002277449,0.0003206283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009744168,0.00003633914,0.9856833,0.00002722014,0.00009849004,0.0001122616,0.0005076035,0.003668906,0.001744755,0.001808504,0.0003777749,0.005837523],"study_design_scores_gemma":[0.00001001085,0.00001658261,0.9723956,0.00001250477,0.00007073443,0.0002706178,0.0005638475,0.02058818,0.0002486172,0.005348504,0.0004601344,0.00001475585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998349,0.0002344633,0.0006096711,0.00008527505,0.000003668867,0.00000165159,0.00005396031,0.00000794639,0.0006544191],"genre_scores_gemma":[0.9996883,0.00005676204,0.00006338384,0.00001156757,0.000004424438,6.996333e-7,0.00002850682,0.000003302403,0.0001431692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02060749,"threshold_uncertainty_score":0.04097509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008701120752084294,"score_gpt":0.2254730620222427,"score_spread":0.2167719412701584,"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."}}