{"id":"W2337934324","doi":"10.1111/gcb.13317","title":"Pattern of xylem phenology in conifers of cold ecosystems at the Northern Hemisphere","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Javna Agencija za Raziskovalno Dejavnost RS; Ministero dell’Istruzione, dell’Università e della Ricerca; Chinese Academy of Sciences; Grantová Agentura České Republiky; Academy of Finland; National Natural Science Foundation of China; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Austrian Science Fund; Agence Nationale de la Recherche; National Science Foundation","keywords":"Phenology; Xylem; Tracheid; Growing season; Biome; Ecosystem; Northern Hemisphere; Environmental science; Climate change; Southern Hemisphere; Ecology; Range (aeronautics); Atmospheric sciences; Botany; Biology; Geology","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":[0.0001886051,0.00010275,0.0002468549,0.00002350509,0.000022954,0.000001852808,0.000253417,0.0001227511,0.0008716235],"category_scores_gemma":[0.00004360484,0.00005377228,0.00004335762,0.0001164083,0.0002458455,0.00002796836,0.00003912489,0.00003254971,0.0001484673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002218759,"about_ca_system_score_gemma":0.00002815409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01911681,"about_ca_topic_score_gemma":0.34556,"domain_scores_codex":[0.9990193,0.000197563,0.0002429344,0.0001867028,0.00006569985,0.0002878254],"domain_scores_gemma":[0.9992747,0.0002978471,0.0001562674,0.0002021763,0.00003029116,0.00003874089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070083,0.000007983022,0.9594555,0.00002114039,0.00001504898,0.000004064023,0.00006129883,9.618506e-7,0.0006449219,0.00004482372,0.00005022429,0.03958703],"study_design_scores_gemma":[0.0005719666,0.0002984969,0.989575,0.00004964777,0.000007517886,0.00002455229,0.0001467733,0.00002515347,0.0006462798,0.00007824429,0.008474664,0.0001017301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943965,0.001908675,0.000006196193,0.0005725158,0.0002756024,0.0001658957,0.001569255,0.00001266256,0.001092706],"genre_scores_gemma":[0.9996337,0.0001459098,0.000004873601,0.0000787083,0.00005354404,0.000003429532,0.00002585074,0.00000187987,0.00005211147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264433,"threshold_uncertainty_score":0.987415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322574509474256,"score_gpt":0.2442392314330366,"score_spread":0.2119817804856109,"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."}}