{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005419629,0.00005967178,0.00007502772,0.00001566864,0.0002081935,0.00000565032,0.00009608326,0.0002639969,0.000100864],"category_scores_gemma":[0.00005028752,0.00005405267,0.00001422978,0.00007019885,0.000163669,0.0001476871,0.0003207645,0.0005453823,0.00003885354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008543697,"about_ca_system_score_gemma":0.000002132969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002217758,"about_ca_topic_score_gemma":0.1170702,"domain_scores_codex":[0.9995254,0.00001928837,0.00005590628,0.0001669571,0.0001073598,0.0001250594],"domain_scores_gemma":[0.9998321,0.00004958995,0.00002016507,0.00006457523,0.000003930185,0.00002966682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001154689,0.00002191831,0.9967594,0.000001498857,0.000002193385,0.0000094781,0.000485733,0.0001277827,0.00004645918,0.001262212,0.0004603721,0.0008113875],"study_design_scores_gemma":[0.0001981033,0.00001304047,0.9969247,0.000002598658,0.000002707503,0.000004445162,0.00005063066,0.0008580874,0.00005853568,0.0011028,0.0007238855,0.00006049394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994121,0.0001533207,0.0001053991,0.001427621,0.00004978627,0.00005369381,0.000001659965,0.0000119957,0.004075517],"genre_scores_gemma":[0.9978659,0.00007102906,0.0007778389,0.0005243634,0.00002150572,0.000001552128,7.841287e-7,0.000001636725,0.0007354448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117048,"threshold_uncertainty_score":0.8990409,"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."}}