{"id":"W4220968031","doi":"10.1111/gcb.16145","title":"The effect of past defaunation on ranges, niches, and future biodiversity forecasts","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Villum Fonden; National Science Foundation","keywords":"Defaunation; Biodiversity; Ecological niche; Environmental science; Niche; Ecology; Geography; Environmental resource management; Biology; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01115389,0.000333736,0.000317659,0.001065185,0.0004784151,0.0017246,0.0007601819,0.0007766337,0.001393573],"category_scores_gemma":[0.04795484,0.0004401128,0.0004754367,0.0009497494,0.001363953,0.002315352,0.001215013,0.001005075,0.0002670901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009708891,"about_ca_system_score_gemma":0.0003546927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411966,"about_ca_topic_score_gemma":0.01916295,"domain_scores_codex":[0.9963934,0.0019479,0.0002765885,0.0007164589,0.0004456099,0.0002199148],"domain_scores_gemma":[0.9621732,0.02471033,0.007212895,0.003019881,0.001930399,0.0009532466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001665608,0.00001611662,0.9679283,0.00004638336,0.0001566805,0.00009105079,0.0003468033,0.02096184,0.0006134794,0.0004382395,0.0002653275,0.008969206],"study_design_scores_gemma":[0.000003347256,0.00005753242,0.9767444,0.00002347528,0.00004562,0.0001366514,0.0003386586,0.02073935,0.0002886522,0.0007712809,0.0008258629,0.00002509324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915877,0.0006559012,0.003039364,0.0007657248,0.00002773008,0.00001321892,0.0008975028,0.00003685616,0.002975963],"genre_scores_gemma":[0.9986417,0.0001481371,0.0007348911,0.00005459973,0.00001834655,0.000005536435,0.0003092062,0.00001309788,0.00007448558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01411966,"threshold_uncertainty_score":0.05898809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195375960304545,"score_gpt":0.2382373735639277,"score_spread":0.2186997775334732,"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."}}