{"id":"W2801604605","doi":"10.1038/s41467-018-04039-5","title":"Cold adaptation recorded in tree rings highlights risks associated with climate change and assisted migration","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Alberta Innovates; Alexander von Humboldt-Stiftung","keywords":"Frost (temperature); Climate change; Adaptation (eye); Spring (device); Population; Geography; Biology; Ecology; Physical geography; Environmental science; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003702211,0.000125543,0.0001468879,0.0001944328,0.0003610048,0.00007614448,0.0003351249,0.0002126954,0.00002369182],"category_scores_gemma":[0.0002282962,0.0001042092,0.00001838966,0.0005767777,0.0001771573,0.0003267563,0.00003448979,0.0003790868,0.00002910286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072537,"about_ca_system_score_gemma":0.00002900323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521958,"about_ca_topic_score_gemma":0.6821019,"domain_scores_codex":[0.9989232,0.0002902593,0.0001989071,0.0002017606,0.000166273,0.000219588],"domain_scores_gemma":[0.9984828,0.0006500174,0.0001655027,0.0005361334,0.0001032461,0.00006232025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624852,0.00007594456,0.9752149,0.000007273429,0.00002466935,0.000002827836,0.001361874,0.000008048825,0.0001690069,0.0006827623,0.0001316664,0.02215854],"study_design_scores_gemma":[0.000406936,0.0001480202,0.9851369,0.0001047696,0.00002318964,0.000004006677,0.0001295018,0.009380816,0.00005305076,0.00004708021,0.004430142,0.0001355818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910485,0.001741496,0.00000557948,0.003437168,0.00008978313,0.0003382977,0.0001062012,0.0001149419,0.003118065],"genre_scores_gemma":[0.9950472,0.00146282,0.002833073,0.0001617915,0.00003422049,0.00001536931,0.0004063506,0.000006480931,0.00003277254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6795799,"threshold_uncertainty_score":0.4249529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08064068259256697,"score_gpt":0.2933933357546199,"score_spread":0.2127526531620529,"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."}}