{"id":"W2887710131","doi":"10.1080/15230430.2018.1495445","title":"Topographic influences on ring widths of trees and shrubs across alpine treelines in southwest Yukon","year":2018,"lang":"en","type":"article","venue":"Arctic Antarctic and Alpine Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Shrub; Dendrochronology; Precipitation; Climate change; Tree line; Dendroclimatology; Environmental science; Ecology; Physical geography; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654058,0.0002129262,0.0003490523,0.0004797846,0.0003577502,0.0001039124,0.0002564805,0.00009376701,0.0002307127],"category_scores_gemma":[0.0006285387,0.0001638615,0.00004499616,0.00091489,0.001731601,0.0002732045,0.0000917288,0.0003726799,0.0000372748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008655655,"about_ca_system_score_gemma":0.00006323789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02856765,"about_ca_topic_score_gemma":0.06828517,"domain_scores_codex":[0.9974354,0.000289374,0.0004015699,0.0005198309,0.0005895321,0.0007642841],"domain_scores_gemma":[0.9978771,0.001376402,0.00008019389,0.0002891607,0.0001681925,0.0002089098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004730079,0.00004992819,0.9666431,0.0001428003,0.00002549417,0.00002631889,0.001131644,0.00003183162,0.0003448062,0.0001509266,0.000009180151,0.03097094],"study_design_scores_gemma":[0.0007612699,0.00127064,0.9924696,0.0003712528,0.000009002309,0.00004161381,0.001957149,0.001228164,0.0003414524,0.001105289,0.0002673799,0.0001771843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965101,0.001472042,0.000003606064,0.00110739,0.000069804,0.0002195117,0.00003986895,0.00002544338,0.0005522561],"genre_scores_gemma":[0.9973085,0.002072528,0.0002688043,0.00006538112,0.0001549645,0.000003757481,0.0000131431,0.000008996391,0.0001039504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971752,"threshold_uncertainty_score":0.9779012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05332122724221557,"score_gpt":0.3491758331259132,"score_spread":0.2958546058836977,"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."}}