{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073996,0.0001567136,0.0001884414,0.0007844058,0.0002917423,0.0004539815,0.0001039485,0.0001451014,0.0008231712],"category_scores_gemma":[0.0002472767,0.00009019056,0.0001240085,0.0006528638,0.0001830897,0.0002277041,0.0001684265,0.0001146728,0.00009781805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384776,"about_ca_system_score_gemma":0.0001786118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552816,"about_ca_topic_score_gemma":0.03404477,"domain_scores_codex":[0.9999069,0.00001560927,0.000004738621,0.00003057312,0.00001494096,0.00002728529],"domain_scores_gemma":[0.9996976,0.00005322087,0.000125014,0.00001412832,0.000046719,0.0000633614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098294,0.00001882794,0.9840328,0.00001874804,0.00003006607,0.00008072938,0.0002829303,0.0002297199,0.01230684,0.0000279823,0.00006483732,0.002796677],"study_design_scores_gemma":[2.988432e-7,0.000003746356,0.999844,4.081693e-7,0.000001145347,0.000009264179,0.00003599966,0.00004114185,0.00003805692,0.000002669919,0.00002287726,5.058487e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995968,0.00005138357,0.00003572591,0.000002969031,4.623002e-7,9.195515e-7,0.0001430064,0.000002535065,0.0001662427],"genre_scores_gemma":[0.9995822,0.00002501294,0.00003461943,0.000002148508,0.000001813261,0.000001943976,0.0002609398,8.789412e-7,0.00009047643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01552816,"threshold_uncertainty_score":0.0308755,"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."}}