{"id":"W2907399367","doi":"10.1016/j.biocon.2018.12.026","title":"Is habitat fragmentation bad for biodiversity?","year":2018,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":587,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Concordia University; ELUTIS Modelling and Consulting (Canada); University of British Columbia, Okanagan Campus; University of British Columbia; University of Ottawa; Université de Sherbrooke; Okanagan University College; Environment and Climate Change Canada; Carleton University","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Carleton University; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs","keywords":"Habitat fragmentation; Fragmentation (computing); Habitat; Ecology; Biodiversity; Geography; Species richness; Habitat destruction; Extinction debt; Forest fragmentation; Landscape ecology; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692986,0.00005631644,0.00005995902,0.00001210645,0.0003555773,0.000007746311,0.00006349314,0.00007527323,0.0008213681],"category_scores_gemma":[0.0001338471,0.00004523293,0.00002931737,0.00008237361,0.0002966176,0.00009255351,0.00005058259,0.00003031695,0.0007325885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408277,"about_ca_system_score_gemma":0.000002777738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000309731,"about_ca_topic_score_gemma":0.0002526383,"domain_scores_codex":[0.9995426,0.00003669324,0.00009546618,0.0001726466,0.00004615271,0.0001064628],"domain_scores_gemma":[0.9997044,0.0001413461,0.0000520887,0.0000535426,0.00002784047,0.00002079193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000342754,0.00002166637,0.9803448,0.000001210265,0.000006878663,1.163233e-7,0.00017736,0.000002388477,0.001972595,0.0009915044,0.0159067,0.0005404478],"study_design_scores_gemma":[0.0002473819,0.0002783272,0.9783756,0.000001115973,0.000006348221,3.389941e-7,0.0000788718,0.001215395,0.0005834051,0.007761382,0.01137742,0.00007447758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867182,0.000006549204,0.006552237,0.004763117,0.0001280519,0.0002061861,0.00001704987,0.00003410727,0.001574459],"genre_scores_gemma":[0.9887997,0.00001043233,0.003157546,0.007692182,0.00002793971,0.00002690195,0.00004842083,0.000001198325,0.0002356607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006769877,"threshold_uncertainty_score":0.9416187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037802176210701,"score_gpt":0.2731463051701098,"score_spread":0.2227682834080028,"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."}}