{"id":"W4411615531","doi":"10.1111/1365-2435.70079","title":"Ecological acclimation: A framework to integrate fast and slow responses to climate change","year":2025,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; International Institute for Sustainable Development; University of Guelph","funders":"Oak Ridge National Laboratory; UT-Battelle; Utah Agricultural Experiment Station; Utah State University; Directorate for Biological Sciences; Battelle; U.S. Department of Energy; National Science Foundation","keywords":"Ecology; Climate change; Ecosystem; Pace; Ecological forecasting; Environmental change; Adaptation (eye); Psychological resilience; Biology; Environmental resource management; Global warming; Environmental science; Geography","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":[0.00727519,0.001170773,0.0009108016,0.002278909,0.001527542,0.004288814,0.003490705,0.002198237,0.007728009],"category_scores_gemma":[0.01003813,0.0006224776,0.002110036,0.001637571,0.005603972,0.007333355,0.005788786,0.003954992,0.00115694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003782495,"about_ca_system_score_gemma":0.002194232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009962924,"about_ca_topic_score_gemma":0.006963074,"domain_scores_codex":[0.9979243,0.001278956,0.00008538677,0.0003811614,0.0001864158,0.000143683],"domain_scores_gemma":[0.9955895,0.002640166,0.0003362169,0.0004117016,0.000418865,0.00060362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002782978,0.00003158849,0.001260647,0.00006497498,0.00004507915,0.00008458502,0.0004834436,0.0812261,0.0003072025,0.9020137,0.002887465,0.01156731],"study_design_scores_gemma":[0.00001005027,0.00002044065,0.0005339552,0.00004289886,0.00001605942,0.00003506375,0.0001507549,0.1908921,0.00007255048,0.7900264,0.01816875,0.00003116881],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009281381,0.001114123,0.9605049,0.007371215,0.0003245261,0.00007818505,0.0003776932,0.0005246467,0.0204233],"genre_scores_gemma":[0.539332,0.001541637,0.4481974,0.001655596,0.0008333054,0.0005446929,0.0007248639,0.0005242988,0.006646161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009962924,"threshold_uncertainty_score":0.03847533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808437079099471,"score_gpt":0.2842721355616473,"score_spread":0.2461877647706525,"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."}}