{"id":"W2997738552","doi":"10.1111/jbi.13782","title":"Global fern and lycophyte richness explained: How regional and local factors shape plot richness","year":2019,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Suomen Kulttuurirahasto; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Forest Service; Academia Româna; Ministry of Natural Resources; Deutsche Forschungsgemeinschaft; European Commission; Fundação de Amparo à Pesquisa do Estado do Amazonas; Ontario Ministry of Natural Resources and Forestry","keywords":"Species richness; Fern; Ecology; Vegetation (pathology); Taxon; Biodiversity; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001920373,0.0001444882,0.000236153,0.00009709996,0.000145136,0.00003371689,0.0001299566,0.00008905529,0.00008009042],"category_scores_gemma":[0.00001353409,0.0001097741,0.00009462814,0.0003349009,0.0004392823,0.0002950801,0.0001148249,0.0001197316,0.000007715901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003485013,"about_ca_system_score_gemma":0.000007253012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674043,"about_ca_topic_score_gemma":0.00008215026,"domain_scores_codex":[0.9991474,0.00004342014,0.0001958504,0.0001818017,0.000241472,0.0001900913],"domain_scores_gemma":[0.9994631,0.00008406105,0.0002313908,0.00007728279,0.00002967608,0.0001144704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000482789,0.00004774835,0.9982641,0.00001059786,0.00006949763,0.000009876579,0.0001565448,0.00005640244,0.0001046902,0.0001699495,0.000250294,0.0008120179],"study_design_scores_gemma":[0.0005559107,0.0002467243,0.9955831,0.00001661726,0.00003411079,0.0000862186,0.0007492549,0.0004047176,0.00001256303,0.001349439,0.0008284168,0.0001329039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975186,0.000745243,0.0003415631,0.0007351715,0.0002413042,0.00007781574,0.00001090725,0.000009057337,0.0003203538],"genre_scores_gemma":[0.999047,0.0003842312,0.0003157938,0.0001835838,0.00002791497,0.000001305709,0.000001755644,0.00000557675,0.00003279771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002680979,"threshold_uncertainty_score":0.4476458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006922625643955568,"score_gpt":0.2059267882954987,"score_spread":0.1990041626515431,"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."}}