{"id":"W4412192211","doi":"10.1111/1365-2745.70106","title":"Early departures and delayed arrivals: Holocene dynamics of temperate tree species in the boreal‐temperate ecotone","year":2025,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Rimouski; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"","keywords":"Temperate climate; Ecotone; Boreal; Ecology; Holocene; Taiga; Temperate forest; Forest dynamics; Geography; Temperate rainforest; Environmental science; Physical geography; Biology; Ecosystem; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003258304,0.0001538379,0.0001369659,0.0009135925,0.0005469606,0.0006056992,0.000292702,0.0001777392,0.001065216],"category_scores_gemma":[0.0003846537,0.00009836318,0.0001083622,0.0005964792,0.0002635869,0.0003885133,0.0002949836,0.0002179406,0.0001548448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834193,"about_ca_system_score_gemma":0.0002455413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03072225,"about_ca_topic_score_gemma":0.1088628,"domain_scores_codex":[0.9999036,0.0000101873,0.000005010595,0.00003410345,0.00001353587,0.00003353645],"domain_scores_gemma":[0.9995044,0.00003992204,0.000163629,0.0000152855,0.0001251929,0.0001515772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001060284,0.00002405643,0.9895727,0.00002360734,0.00002467077,0.0001375979,0.0009639495,0.00008525516,0.004122503,0.00007623334,0.0001071779,0.004756195],"study_design_scores_gemma":[4.665576e-7,0.00000803058,0.9995179,0.000001337773,0.000001840143,0.00003139892,0.0002206877,0.00003712856,0.00002810341,0.000006975838,0.000144975,0.000001107746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992488,0.0001789796,0.00004154713,0.000008979302,0.000002447507,0.000001673353,0.000134944,0.000002720317,0.0003797653],"genre_scores_gemma":[0.9995756,0.00006830984,0.0000524333,0.000005072207,0.000003341439,0.000001835692,0.0001540182,0.000001121642,0.0001381798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03072225,"threshold_uncertainty_score":0.06108689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373648051490261,"score_gpt":0.2560395028847368,"score_spread":0.2423030223698341,"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."}}