{"id":"W4407985026","doi":"10.1111/geb.70015","title":"<scp>LandFrag</scp>: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity","year":2025,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Universitas Lampung; Nottingham Trent University; Universidade Federal de Pernambuco; Universidade Federal de Viçosa; Consejo Nacional de Investigaciones Científicas y Técnicas; Norges Miljø- og Biovitenskapelige Universitet; Universidade Estadual Paulista; Universidade Federal de Minas Gerais; Universidad Nacional Autónoma de México; Universidad de Alcalá; Fundação Araucária; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universidade Federal de Goiás; Universidade Federal de Santa Catarina; Directorate for Biological Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Deakin University; Universidade Estadual de Santa Cruz; DePaul University; Universidade do Estado de Mato Grosso; Commonwealth Scientific and Industrial Research Organisation; Universidad Nacional de Córdoba; College of Engineering, Michigan State University; University of Washington; Trent University; Michigan State University; University of Michigan","keywords":"Forest fragmentation; Biodiversity; Fragmentation (computing); Ecology; Geography; Habitat destruction; Forestry; 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":[0.001048581,0.001238731,0.001020259,0.005027684,0.0005343563,0.001318758,0.001518682,0.001410962,0.01511245],"category_scores_gemma":[0.006419694,0.0003538609,0.000988167,0.01104186,0.0003915264,0.0009633927,0.001748745,0.0008331001,0.01012109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008833033,"about_ca_system_score_gemma":0.001296185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813365,"about_ca_topic_score_gemma":0.03834684,"domain_scores_codex":[0.9986992,0.0001974275,0.0002550039,0.0003324989,0.0003421306,0.0001736728],"domain_scores_gemma":[0.9953097,0.001347699,0.001054339,0.0007806974,0.001017089,0.0004906187],"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":[0.0003582322,0.00007995551,0.05819821,0.003973527,0.0003736777,0.0002621812,0.0002463933,0.002464485,0.0009631877,0.0008930372,0.9194744,0.01271267],"study_design_scores_gemma":[0.0007266302,0.0001188208,0.326894,0.001264537,0.0002288005,0.0004619526,0.0007803171,0.00567404,0.001214722,0.001697172,0.6608052,0.0001337359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00279161,0.0001327129,0.00007929766,0.0000551128,0.00000788215,0.00001582012,0.9964007,0.0001954619,0.00032136],"genre_scores_gemma":[0.004255105,0.00006157842,0.0004237417,0.00003100817,0.00000822206,0.00009244026,0.9949375,0.00004295646,0.000147403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02813365,"threshold_uncertainty_score":0.05593973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003080280062802166,"score_gpt":0.1973670165233447,"score_spread":0.1942867364605425,"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."}}