{"id":"W4390545674","doi":"10.1038/s41597-023-02784-x","title":"Global fine-resolution data on springtail abundance and community structure","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Western University; Université du Québec à Montréal; Université du Québec en Outaouais; Natural Resources Canada; Université Laval","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Agencia Estatal de Investigación; Higher Education Commision, Pakistan; Universität Leipzig; Russian Science Foundation; Agence Nationale pour la Gestion des Déchets Radioactifs; Office of Energy Research and Development; Latvijas Zinātnes Padome; Centre National de la Recherche Scientifique; Canadian Forest Service; Japan Society for the Promotion of Science; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ministério da Ciência, Tecnologia e Inovação; Russian Foundation for Basic Research; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; National Research Foundation; Austrian Science Fund; Ministerio de Ciencia e Innovación; Eesti Teadusfondi; Massey University; Royal Society Te Apārangi; Nanyang Technological University; Biodiversa+; U.S. Forest Service; Government of Alberta; Department of Science and Technology, Ministry of Science and Technology, India; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Alberta Environment and Parks; Marsden Fund; Bundesministerium für Bildung und Forschung; Ural Branch, Russian Academy of Sciences; Agentúra na Podporu Výskumu a Vývoja; Alexander von Humboldt-Stiftung; Klima- und Energiefonds; St. John's University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Russian Academy of Sciences; Agence Nationale de la Recherche; Ministry of Natural Resources; Conseil Régional, Île-de-France; American Association of University Women; National Science Foundation","keywords":"Springtail; Abundance (ecology); Ecology; Geography; Database; Woodland; Habitat; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009137816,0.00009824487,0.0001010852,0.000009562543,0.001403608,0.0004805488,0.001550199,0.00005025216,0.0001742641],"category_scores_gemma":[0.000207486,0.00003964136,0.00001205951,0.0004456059,0.0003360081,0.0004118246,0.003000343,0.0002050278,0.00005052214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363805,"about_ca_system_score_gemma":0.00001614908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413328,"about_ca_topic_score_gemma":0.05740264,"domain_scores_codex":[0.9988207,0.0001055454,0.0001147983,0.0006148479,0.0001328684,0.0002112829],"domain_scores_gemma":[0.9990259,0.0002004545,0.0000250126,0.0006777017,0.00001964291,0.00005130704],"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":[0.00002904139,0.0001099045,0.01019269,0.0000419162,0.00005411843,0.00001004413,0.00009781679,0.000007301558,0.001935109,0.00125402,0.6748717,0.3113964],"study_design_scores_gemma":[0.00004599229,0.00005790597,0.1961987,0.00003449762,0.0000171525,0.000006961675,0.0002806063,0.002514462,0.00001731076,0.001125312,0.7995801,0.0001209463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642621,0.001160598,0.000006404894,0.002276488,0.001465142,0.0001338421,0.02962782,0.00008991067,0.0009776733],"genre_scores_gemma":[0.9938635,0.00001655639,0.0001183093,0.00006547874,0.0001387149,0.000001830187,0.005242172,3.445317e-7,0.0005530785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112754,"threshold_uncertainty_score":0.9998964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09691553568951436,"score_gpt":0.2835592502376938,"score_spread":0.1866437145481794,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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