{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122071,0.0004824847,0.000578889,0.005925162,0.0004258956,0.000745938,0.0005327173,0.0004034512,0.004979433],"category_scores_gemma":[0.003107423,0.0002767839,0.0005070074,0.00882603,0.0002360615,0.0009300063,0.001417407,0.000341892,0.002247386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967035,"about_ca_system_score_gemma":0.0006662768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268326,"about_ca_topic_score_gemma":0.02887904,"domain_scores_codex":[0.9992223,0.00008392159,0.0001102966,0.0002889258,0.000199778,0.00009479048],"domain_scores_gemma":[0.995842,0.0006928431,0.001231419,0.0007507291,0.001085174,0.0003978143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001939393,0.00007417451,0.8771558,0.001392043,0.0005301815,0.0002365384,0.001642221,0.0008611917,0.02083545,0.0006098151,0.02559714,0.07087152],"study_design_scores_gemma":[0.00001446876,0.00003373627,0.9663001,0.00007800285,0.00007830426,0.0001336687,0.0004116778,0.0002110132,0.0007881616,0.0002527314,0.03168006,0.0000179266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4623804,0.002344476,0.006853112,0.0002062613,0.00006221508,0.0000951705,0.5197546,0.0006887317,0.007614944],"genre_scores_gemma":[0.3697608,0.001340435,0.0150072,0.0001615845,0.00008716397,0.0003380893,0.6103206,0.0001527606,0.002831409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01268326,"threshold_uncertainty_score":0.0252189,"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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