{"id":"W1986969344","doi":"10.1111/j.1365-2699.2006.01598.x","title":"Multi‐scale analysis of plant species richness in Serengeti grasslands","year":2006,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Species richness; Grassland; Ecology; Context (archaeology); Niche; Geography; Biogeography; Habitat; Spatial ecology; Plant community; Physical geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002927983,0.00007458461,0.0002807098,0.0006038562,0.00004370691,0.00000564925,0.0001307541,0.00005024321,0.0001471473],"category_scores_gemma":[0.000008542036,0.00005791337,0.0002312067,0.00140517,0.0001793976,0.00008365339,0.0000364807,0.00009489364,0.000002658295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002102377,"about_ca_system_score_gemma":0.000003195181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001384809,"about_ca_topic_score_gemma":0.005979769,"domain_scores_codex":[0.9991829,0.00004111679,0.0003990076,0.00008569117,0.0001695423,0.0001216753],"domain_scores_gemma":[0.9995008,0.00006323974,0.0003197399,0.00006971785,0.00002128663,0.00002518177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001925044,0.0001981756,0.9916956,0.000003023014,0.0001780481,0.000009090209,0.0001466333,0.004557649,0.002966235,0.00002075539,0.0001773419,0.00002820319],"study_design_scores_gemma":[0.0003303883,0.00005533959,0.9971483,0.000006514408,0.0001991723,0.000003139008,0.0001608661,0.001254767,0.0003042678,0.0002064984,0.0002679403,0.00006281327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998019,0.0002160784,0.0003745762,0.00009023951,0.00007602731,0.00003136484,0.00003769416,0.000002749549,0.001152234],"genre_scores_gemma":[0.9981033,0.0001555178,0.001644672,0.00001841406,0.00001340349,0.000001017373,0.00000879082,0.000002412525,0.00005251692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005841288,"threshold_uncertainty_score":0.3336852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005886364899915223,"score_gpt":0.2058833915892699,"score_spread":0.1999970266893547,"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."}}