{"id":"W3033958406","doi":"10.1101/2020.06.02.128975","title":"Paleoclimate and current climate collectively shape the phylogenetic and functional diversity of trees worldwide","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Guelph; University of British Columbia; The Scarborough Hospital; Algoma University; University of Toronto; Université du Québec à Montréal","funders":"Scheme for Promotion of Academic and Research Collaboration; Aarhus Universitets Forskningsfond; Fondation pour la Recherche sur la Biodiversite; Global Environment Facility; Aarhus Universitet","keywords":"Paleoclimatology; Climate change; Phylogenetic diversity; Diversity (politics); Ecology; Species richness; Phylogenetic tree; Geography; Biodiversity; Tree (set theory); Ecosystem; Pleistocene; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002458878,0.0001478864,0.0001787365,0.0007785985,0.0002055979,0.000904134,0.0001169347,0.0001576906,0.002769521],"category_scores_gemma":[0.0003946806,0.00009898288,0.0001668589,0.0009407028,0.0002464687,0.0004513522,0.0005048698,0.0002157325,0.0003244816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040348,"about_ca_system_score_gemma":0.00009614971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360832,"about_ca_topic_score_gemma":0.004436759,"domain_scores_codex":[0.9999121,0.00001656288,0.000004350952,0.00003443503,0.00001388874,0.00001853156],"domain_scores_gemma":[0.9997835,0.00004767095,0.00007544054,0.00002348496,0.00003082486,0.00003907136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008949032,0.00002159787,0.9426966,0.0000505081,0.000150374,0.00005964593,0.0004781896,0.001597896,0.03083479,0.0005114236,0.0006139489,0.02289563],"study_design_scores_gemma":[0.000001036058,0.000006290304,0.9980101,0.0000060394,0.000009534922,0.00003262058,0.0001916891,0.0006587189,0.0003712894,0.0001853416,0.0005243372,0.000003020044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971402,0.0002567697,0.0005396807,0.00005597925,0.000003101131,0.000001131045,0.000740837,0.00001732915,0.001245005],"genre_scores_gemma":[0.9984559,0.0001577899,0.0003321574,0.00001890692,0.000004813134,0.00000195638,0.0006894832,0.000009388764,0.0003296483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002769521,"threshold_uncertainty_score":0.009265006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799790408019449,"score_gpt":0.2082606920346898,"score_spread":0.1902627879544953,"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."}}