{"id":"W4392616120","doi":"10.5194/egusphere-egu24-10161","title":"Warming-induced phenological mismatch between trees and shrubs explains high-elevation forest expansion","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Phenology; Elevation (ballistics); Climate change; Forestry; Agroforestry; Geography; Environmental science; Climatology; Physical geography; Ecology; Geology; Biology; 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":[0.00348993,0.0008122656,0.001042959,0.001753919,0.0004790796,0.00135917,0.0006875438,0.0006292483,0.001902904],"category_scores_gemma":[0.003691166,0.0003555516,0.002519584,0.001901948,0.000707256,0.0007176627,0.0007795841,0.000561828,0.0001877799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003037818,"about_ca_system_score_gemma":0.000423343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048068,"about_ca_topic_score_gemma":0.008991664,"domain_scores_codex":[0.9987341,0.0005006869,0.00007515595,0.0005193114,0.00008086589,0.00008997924],"domain_scores_gemma":[0.9968805,0.001699383,0.0005948243,0.0004615915,0.0001795965,0.0001841324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000515299,0.00003543698,0.9319909,0.001556454,0.03207933,0.0002639961,0.0003893898,0.002197887,0.006480274,0.0006625038,0.0007276139,0.02310091],"study_design_scores_gemma":[0.00003010252,0.00007638622,0.9838849,0.0001515223,0.007792149,0.00009947498,0.0004161509,0.004043263,0.0006134595,0.001340539,0.001527936,0.00002413869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358243,0.0544659,0.005329564,0.0009035305,0.0001214152,0.00002454287,0.001775185,0.0001490688,0.001406504],"genre_scores_gemma":[0.9970938,0.001720759,0.0004818104,0.00008816917,0.00004518431,0.000006554418,0.0004580388,0.00002058514,0.00008510353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048068,"threshold_uncertainty_score":0.02083933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05021091678296645,"score_gpt":0.266705065829237,"score_spread":0.2164941490462706,"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."}}