{"id":"W2543764844","doi":"10.1080/11956860.2000.11682623","title":"A parametric index of community evenness","year":2000,"lang":"en","type":"article","venue":"Ecoscience","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species evenness; Species richness; Ecology; Species diversity; Rank abundance curve; Diversity index; Mathematics; Parametric statistics; Statistics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001818068,0.0003748278,0.0003809864,0.002945985,0.0004394716,0.001140201,0.0004448432,0.0005171638,0.001695718],"category_scores_gemma":[0.01128907,0.0001592151,0.0003720547,0.00180203,0.001145827,0.002318525,0.001409769,0.000538628,0.0002801159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177293,"about_ca_system_score_gemma":0.0002863322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004134804,"about_ca_topic_score_gemma":0.0004090937,"domain_scores_codex":[0.9990502,0.0002613691,0.00008175983,0.0001786047,0.000331558,0.00009640159],"domain_scores_gemma":[0.9925326,0.003724653,0.001477654,0.001011862,0.000857577,0.000395662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007440356,0.0002666633,0.2557067,0.0005732233,0.0005099262,0.000700177,0.001853287,0.1028733,0.06196823,0.1185487,0.005032721,0.451223],"study_design_scores_gemma":[0.00004515069,0.001078977,0.3562617,0.0001951166,0.0001669974,0.003576861,0.001638068,0.4328457,0.01949582,0.1659245,0.01836831,0.0004029393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6326004,0.0007685951,0.3481777,0.000185209,0.00005415692,0.0001778732,0.001393276,0.00051557,0.01612725],"genre_scores_gemma":[0.9721001,0.0001234218,0.02636828,0.00002586292,0.00002497626,0.00008430798,0.0005261732,0.00002709834,0.0007196045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002945985,"threshold_uncertainty_score":0.009614944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185259162568834,"score_gpt":0.2399444550951187,"score_spread":0.2280918634694304,"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."}}