{"id":"W2061443658","doi":"10.1556/comec.3.2002.2.9","title":"Assessing species abundance unevenness within and between plant communities","year":2002,"lang":"en","type":"article","venue":"Community Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Species evenness; Species richness; Dominance (genetics); Rank abundance curve; Diversity index; Statistics; Ecology; Mathematics; Species diversity; Biology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005345916,0.0001232341,0.0002306637,0.00003780055,0.001694945,0.00004329367,0.0003312061,0.0001064328,0.0009258779],"category_scores_gemma":[0.00007453287,0.0001228394,0.00002057937,0.00009808196,0.001268496,0.0002808702,0.0006645526,0.0006108749,0.000122996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008078355,"about_ca_system_score_gemma":0.000003469878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004604386,"about_ca_topic_score_gemma":0.03474972,"domain_scores_codex":[0.998682,0.0007409097,0.0002012044,0.00008721591,0.00006224144,0.0002264443],"domain_scores_gemma":[0.9983055,0.001234156,0.0001085647,0.0002959172,0.000009507806,0.0000463781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001867253,0.00007805231,0.9875198,0.00001097598,0.00002334201,0.000002722464,0.01028488,0.0001365862,0.00003211669,0.0008016137,0.0004869233,0.0006211404],"study_design_scores_gemma":[0.0002161981,0.00008124363,0.9851425,0.000008663461,0.00001626901,0.0000162663,0.008984265,0.001815286,0.00001813958,0.002663397,0.0008998081,0.0001379203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718814,0.00006317197,0.00009397952,0.0006695932,0.0001316637,0.00008344629,0.00001129916,0.00004799163,0.02701738],"genre_scores_gemma":[0.9981924,0.0001014693,0.0005222833,0.0003789741,0.00001604206,0.00001370043,0.00002295582,0.000008152382,0.0007439702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428928,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554546764907666,"score_gpt":0.2667509327298158,"score_spread":0.1912054650807392,"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."}}