{"id":"W2137462649","doi":"10.1093/jpe/rtr039","title":"Demographic trade-offs determine species abundance and diversity","year":2012,"lang":"en","type":"article","venue":"Journal of Plant Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; University of Alberta","keywords":"Neutral theory of molecular evolution; Relative abundance distribution; Biodiversity; Metacommunity; Ecology; Abundance (ecology); Biology; Relative species abundance; Demography; Population; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002018765,0.00006736076,0.0001860094,0.00001477888,0.0002391606,0.000009564723,0.000103467,0.00005006441,0.00007435275],"category_scores_gemma":[0.00002414793,0.00002377328,0.0000545097,0.00006058911,0.00006957093,0.0001183802,0.00009421419,0.000100185,0.000002758914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007879696,"about_ca_system_score_gemma":0.000001702147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008977488,"about_ca_topic_score_gemma":0.00112312,"domain_scores_codex":[0.9994952,0.00003318006,0.0001403802,0.00005288507,0.00007999614,0.0001983655],"domain_scores_gemma":[0.9995274,0.0002265224,0.0001411621,0.000005584334,0.00001382931,0.00008548536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000488802,0.00004534006,0.9622641,0.000002499544,0.00002337567,0.0000289134,0.00009351632,5.931004e-8,0.03419927,0.0001238367,0.002030527,0.001139703],"study_design_scores_gemma":[0.00009890304,0.000301734,0.9731935,0.000006250262,0.00002028598,0.0004848209,0.000145454,0.000001457029,0.000166653,0.0001077829,0.02541378,0.00005940692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976367,0.0009210492,2.819033e-7,0.0009311317,0.0001570008,0.00002561564,0.00004984365,0.000005048932,0.0002733288],"genre_scores_gemma":[0.9983509,0.0009883576,0.00002855573,0.0001541895,0.000425535,2.121436e-7,0.000001936396,1.994506e-7,0.0000501228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03403261,"threshold_uncertainty_score":0.1839454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491856205231237,"score_gpt":0.193743529802987,"score_spread":0.1488249677506747,"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."}}