{"id":"W2540310966","doi":"10.1080/11956860.2002.11682710","title":"Realistic simulation of the effects of abundance distribution and spatial heterogeneity on non-parametric estimators of species richness","year":2002,"lang":"en","type":"article","venue":"Ecoscience","topic":"Census and Population Estimation","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Estimator; Jackknife resampling; Statistics; Abundance (ecology); Spatial heterogeneity; Mathematics; Sampling (signal processing); Parametric statistics; Spatial distribution; Relative species abundance; Variance (accounting); Econometrics; Ecology; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836618,0.00006897414,0.0001539415,0.00005477545,0.00006948521,0.000006243898,0.0001008638,0.0000328235,0.000007044163],"category_scores_gemma":[0.002151759,0.00005105588,0.00003504563,0.0004615049,0.0001531276,0.00006873553,0.00002810256,0.0000376871,5.67041e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836141,"about_ca_system_score_gemma":0.000007363567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004744351,"about_ca_topic_score_gemma":0.00001875051,"domain_scores_codex":[0.99922,0.00004078964,0.0002707609,0.0001188673,0.0002697399,0.00007984776],"domain_scores_gemma":[0.9985913,0.0007194015,0.0003781104,0.0002036992,0.00008631116,0.00002116553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006770804,0.001108977,0.6742983,0.003240248,0.00002460731,0.000001270956,0.001457185,0.2556672,0.01082033,0.03586215,0.0002908348,0.01716118],"study_design_scores_gemma":[0.0001202792,0.00006452264,0.4827679,0.00008861747,0.0000126848,5.327975e-7,0.000001849244,0.4977037,0.01748474,0.001711678,0.000004970374,0.00003854428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133351,0.00001570473,0.0861796,0.00001449641,0.0001490546,0.0001983297,0.00003325769,0.000006054866,0.00006838818],"genre_scores_gemma":[0.999476,0.000006560621,0.0004797596,0.000003141405,0.000009680986,0.000002306094,0.000003164079,0.000003306751,0.0000160651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2420365,"threshold_uncertainty_score":0.2576012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748045742871851,"score_gpt":0.3023855578198967,"score_spread":0.2649051003911781,"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."}}