{"id":"W3032712958","doi":"10.1111/eva.13030","title":"Contrasted patterns of local adaptation to climate change across the range of an evergreen oak, <i>Quercus aquifolioides</i>","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"National Natural Science Foundation of China","keywords":"Evergreen; Biology; Adaptation (eye); Local adaptation; Range (aeronautics); Fagaceae; Climate change; Ecology; Demography; Neuroscience","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":[0.0002385049,0.00009932098,0.0001487051,0.0005147419,0.000261096,0.0002846229,0.0001677565,0.0001270638,0.0004285729],"category_scores_gemma":[0.0002330998,0.00006079756,0.0001131179,0.0003295213,0.0002377463,0.0001073817,0.0002299336,0.0001540766,0.00005534756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146246,"about_ca_system_score_gemma":0.0001020113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968666,"about_ca_topic_score_gemma":0.008494033,"domain_scores_codex":[0.9998884,0.00002252001,0.000007984384,0.00004667568,0.00001567578,0.00001863334],"domain_scores_gemma":[0.9997944,0.00003410734,0.00006091812,0.00001553001,0.00004388872,0.00005119244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001440946,0.0000304703,0.8963632,0.00002860373,0.00009988881,0.0001285087,0.000696374,0.0003372462,0.09761646,0.00009221842,0.00008159874,0.004381311],"study_design_scores_gemma":[0.000001761597,0.00001916101,0.9992371,0.000001316077,0.000005271293,0.0000478395,0.0001645431,0.000177805,0.0002667673,0.00001771669,0.00005879798,0.000001901308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998608,0.00001182619,0.00003423282,0.00000202602,2.81624e-7,5.494423e-7,0.0000280438,0.000001175312,0.00006117524],"genre_scores_gemma":[0.9998243,0.000004724229,0.00004487587,0.000003718522,6.122863e-7,0.000001279518,0.0000841799,7.535985e-7,0.00003552195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003968666,"threshold_uncertainty_score":0.007891119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171543867265098,"score_gpt":0.2607024355504248,"score_spread":0.2289869968777739,"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."}}