{"id":"W4382789928","doi":"10.1093/nsr/nwad182","title":"Warming-induced phenological mismatch between trees and shrubs explains high-elevation forest expansion","year":2023,"lang":"en","type":"article","venue":"National Science Review","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China; European Commission; China Scholarship Council; Ministerio de Ciencia e Innovación; Fundación Ramón Areces","keywords":"Phenology; Elevation (ballistics); Forestry; Biology; Physical geography; Environmental science; Geography; Botany; Mathematics","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":[0.002636731,0.0005441544,0.0009503446,0.001384806,0.0002537399,0.0008795304,0.0006067924,0.0004744371,0.001222787],"category_scores_gemma":[0.002869208,0.0002020252,0.001645896,0.001957608,0.0003712605,0.0004804646,0.0004499309,0.0004698271,0.0001551568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744558,"about_ca_system_score_gemma":0.0005541415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060468,"about_ca_topic_score_gemma":0.01724211,"domain_scores_codex":[0.9991764,0.000331698,0.00006672619,0.0002991838,0.00006851173,0.00005748253],"domain_scores_gemma":[0.9979303,0.001112301,0.0004973637,0.0001718438,0.0001920305,0.00009614359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004274992,0.00003312529,0.8068388,0.009680887,0.04707085,0.0003388815,0.0003295349,0.002667959,0.007613659,0.001397509,0.001751158,0.1218501],"study_design_scores_gemma":[0.00002444234,0.00009510117,0.9743225,0.000571728,0.01420766,0.0001880738,0.0003167172,0.001955514,0.0004621036,0.001457157,0.006378188,0.00002083707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3280441,0.6631241,0.003806385,0.00142184,0.0002134306,0.00002547405,0.001393225,0.00007013878,0.001901242],"genre_scores_gemma":[0.9317542,0.06601377,0.0009508737,0.0002788192,0.000160993,0.00001237588,0.0006191194,0.00001703719,0.0001928332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060468,"threshold_uncertainty_score":0.02108592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556874495340289,"score_gpt":0.3234828725037994,"score_spread":0.2379141275503965,"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."}}