{"id":"W2031802087","doi":"10.1007/s11258-006-9206-4","title":"Species richness and evenness respond in a different manner to propagule density in developing prairie microcosm communities","year":2006,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Species evenness; Species richness; Ecology; Rank abundance curve; Dominance (genetics); Species diversity; Biology; Microcosm; Biodiversity; Gamma diversity; Plant community; Alpha diversity","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":[0.0001421954,0.0001205002,0.0002460892,0.00003822339,0.0001425004,0.00002412323,0.0001154688,0.00006514884,0.00001323951],"category_scores_gemma":[0.00001662761,0.00004891124,0.00001397108,0.0001509238,0.00005579009,0.00003783704,0.0001767766,0.00009553995,0.000006463756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005788322,"about_ca_system_score_gemma":0.00000462797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847572,"about_ca_topic_score_gemma":0.6247501,"domain_scores_codex":[0.9992439,0.00009552519,0.0001730913,0.0001499944,0.00005275801,0.0002847389],"domain_scores_gemma":[0.9995599,0.0003499313,0.00003503326,0.00001448342,0.00001687953,0.00002370898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001057182,0.00006569084,0.9690456,0.00000902174,0.000002987123,0.0000517657,0.0002145779,0.000001565946,0.02862963,0.001184251,0.0005119657,0.0001771566],"study_design_scores_gemma":[0.0001306813,0.00008646352,0.99269,0.00003742878,0.000001892893,0.00002746149,0.0009034165,0.0000102863,0.000834126,0.0004948009,0.004639986,0.0001435157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963416,0.00008267641,5.245635e-7,0.0029821,0.00003410668,0.00020037,0.00005922962,0.00001824663,0.0002811191],"genre_scores_gemma":[0.9993569,0.00003599465,0.00003499466,0.0001796299,0.00005688311,0.00003346596,0.0000453768,5.691218e-7,0.0002561345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6229025,"threshold_uncertainty_score":0.3820973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780309482209464,"score_gpt":0.1997396579692342,"score_spread":0.1619365631471395,"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."}}