{"id":"W6922113063","doi":"10.1111/geb.12729</p","title":"BioTIME: A database of biodiversity time series for the Anthropocene","year":2018,"lang":"en","type":"article","venue":"W&M Publish (College of William & Mary)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Institute of Tropical Forestry; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Departament d'Universitats, Recerca i Societat de la Informació; Russian Science Foundation; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Petrobras; Instituto Milenio de Oceanografía; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agència de Gestió d'Ajuts Universitaris i de Recerca; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Università di Pisa; Deutscher Akademischer Austauschdienst; University of St Andrews; Pacific Northwest Research Station; New Mexico State University; Ministerio de Educación, Cultura y Deporte; Oregon State University; National Science Foundation; University of Minnesota; U.S. Forest Service; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Gordon and Betty Moore Foundation; Deutsche Forschungsgemeinschaft; Andrew W. Mellon Foundation; U.S. Department of Agriculture; International Seafood Sustainability Foundation; Smithsonian Institution; Comisión Nacional de Investigación Científica y Tecnológica; Wellcome Trust","keywords":"Biodiversity; Metadata; Abundance (ecology); Sampling (signal processing); Range (aeronautics); Anthropocene; Invertebrate; Raw data; Time series","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":[0.002276493,0.0008627257,0.0007932418,0.009061624,0.00050163,0.002212071,0.001690166,0.0007766552,0.02057945],"category_scores_gemma":[0.0153841,0.0005885067,0.0006637527,0.01449127,0.0002883127,0.003152582,0.00268506,0.0009954282,0.01482817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428832,"about_ca_system_score_gemma":0.001972257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159568,"about_ca_topic_score_gemma":0.01630648,"domain_scores_codex":[0.9983576,0.0001883937,0.0004763062,0.0004246986,0.0004486711,0.0001043174],"domain_scores_gemma":[0.9906336,0.001960155,0.00263226,0.001858344,0.001852472,0.001063096],"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":[0.0006696719,0.0001122921,0.06602301,0.002541203,0.0002786663,0.0003036968,0.0008312333,0.004160128,0.002192579,0.009029645,0.7991298,0.114728],"study_design_scores_gemma":[0.0001173744,0.0000562089,0.09205604,0.0005176644,0.00007177095,0.0002415926,0.0003678364,0.004002322,0.001308451,0.005342947,0.8958017,0.0001159669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003899317,0.0002115219,0.003633077,0.0001495766,0.00004406814,0.00007609284,0.987133,0.002927715,0.001925556],"genre_scores_gemma":[0.006899219,0.0002214774,0.009818179,0.00005198737,0.0000310599,0.000295137,0.9816444,0.0004161428,0.0006223919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02057945,"threshold_uncertainty_score":0.06884515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181965443845965,"score_gpt":0.2096197125223095,"score_spread":0.1978000580838499,"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."}}