{"id":"W2751943544","doi":"10.1111/2041-210x.12861","title":"The <scp>bien r</scp> package: A tool to access the Botanical Information and Ecology Network (BIEN) database","year":2017,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":411,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Academy of Natural Sciences of Drexel University; Bhabha Atomic Research Centre; University of California; University of California, Santa Barbara; Ministry of Business, Innovation and Employment; Agence Nationale de Sécurité du Médicament et des Produits de Santé; Canada Foundation for Innovation; American Museum of Natural History; Centre International de Mathématiques et Informatique de Toulouse; Fondation pour la Recherche sur la Biodiversite; Commonwealth Health Research Board; Villum Fonden; National Science Foundation","keywords":"R package; Database; Ecology; Geography; Computer science; World Wide Web; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005475189,0.003384203,0.00259817,0.005262904,0.001165173,0.004329727,0.004710561,0.001291087,0.133473],"category_scores_gemma":[0.02538886,0.002379092,0.002009165,0.00479415,0.0009614304,0.00373291,0.005525451,0.003894334,0.1207266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033632,"about_ca_system_score_gemma":0.00276761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004721718,"about_ca_topic_score_gemma":0.004851958,"domain_scores_codex":[0.9964379,0.0008101159,0.000476983,0.0008300897,0.001169639,0.0002752276],"domain_scores_gemma":[0.9906175,0.004404624,0.001072713,0.001831396,0.001515257,0.0005585385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003349581,0.00005113601,0.001889896,0.002284141,0.0003519926,0.0002887894,0.0002966337,0.001845478,0.002845035,0.008329106,0.9530208,0.02846212],"study_design_scores_gemma":[0.0003660009,0.00005988252,0.006342456,0.0007033798,0.0001744136,0.0004171404,0.0001119778,0.01299952,0.008247703,0.0203677,0.9499407,0.0002691037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002597847,0.0008414569,0.115005,0.0007425203,0.0003871748,0.0005998986,0.5043015,0.3626647,0.01285987],"genre_scores_gemma":[0.01753603,0.0008727548,0.1953101,0.001331186,0.0002055056,0.004897744,0.5425934,0.2293121,0.007941201],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.133473,"threshold_uncertainty_score":0.4465116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819843962422658,"score_gpt":0.3548965569274348,"score_spread":0.3166981173032082,"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."}}