{"id":"W2032912287","doi":"10.1111/jbi.12400","title":"The strength of cross‐taxon congruence in species composition varies with the size of regional species pools and the intensity of human disturbance","year":2014,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta; University of Waterloo","funders":"Alberta Innovates - Technology Futures; Alberta Biodiversity Monitoring Institute","keywords":"Ecoregion; Taxon; Ecology; Disturbance (geology); Grassland; Habitat; Boreal; Biology; Taxonomic rank","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007467179,0.00007254443,0.0002225558,0.00003170877,0.0002470644,0.00001687402,0.0002065627,0.00002510042,0.00001062414],"category_scores_gemma":[0.00007736206,0.00003130648,0.00008109177,0.0001965972,0.006007399,0.00009964854,0.00006711044,0.0001338421,1.021513e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009385907,"about_ca_system_score_gemma":0.000004963612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115516,"about_ca_topic_score_gemma":0.001141797,"domain_scores_codex":[0.9991798,0.0001213214,0.0003263219,0.00006800747,0.000218946,0.00008559234],"domain_scores_gemma":[0.9983319,0.0007758707,0.0006681659,0.0001108146,0.00009939793,0.0000138691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003410598,0.00004854532,0.9856811,0.00000910206,0.00006349498,4.993772e-7,0.0009346809,0.0001198148,0.0025672,0.01008185,0.0001090128,0.00004365322],"study_design_scores_gemma":[0.0005538679,0.0002138216,0.9934334,0.00003960464,0.00002734909,0.000008488755,0.0008943659,0.00004122516,0.0009462805,0.003661611,0.0001438491,0.00003616475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970503,0.0002923548,0.00006070864,0.001790905,0.00003709433,0.00008451886,0.000007098088,9.72063e-7,0.0006760388],"genre_scores_gemma":[0.9994829,0.0002807498,0.0001267009,0.00006459448,0.00001286913,0.000001418355,4.703782e-7,0.000001781545,0.00002851934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007752288,"threshold_uncertainty_score":0.9966977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684273106909465,"score_gpt":0.2153189926383608,"score_spread":0.2084762615692661,"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."}}