{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432686,0.0001302767,0.000166416,0.0004369627,0.0004378266,0.0003478903,0.0001532419,0.0001148383,0.0003941253],"category_scores_gemma":[0.0003728317,0.0001286057,0.0001287802,0.0005931222,0.000240723,0.0001605066,0.0002905675,0.00009702876,0.00005426991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007042885,"about_ca_system_score_gemma":0.0005084487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1683179,"about_ca_topic_score_gemma":0.4937368,"domain_scores_codex":[0.9998926,0.00001895618,0.000009523036,0.00002966543,0.00001816863,0.00003106984],"domain_scores_gemma":[0.9996313,0.00005604428,0.000105044,0.0000244093,0.0001123065,0.00007102236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004798333,0.000009270598,0.9927484,0.000008757125,0.00002676996,0.000049062,0.0004843716,0.0001609052,0.004493967,0.00001604488,0.00003618012,0.0019182],"study_design_scores_gemma":[4.427064e-7,0.000004351267,0.9996251,6.86105e-7,0.000002757963,0.000009954101,0.0002206621,0.00006209553,0.00004565143,0.000002100973,0.000025485,6.041773e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998745,0.00001085474,0.00001206505,0.000001947586,1.633992e-7,5.999557e-7,0.00004417624,7.74406e-7,0.00005492377],"genre_scores_gemma":[0.9997653,0.00001663229,0.00003606125,0.000002647703,2.518617e-7,0.000001666408,0.0001224319,6.556576e-7,0.00005428718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8316821,"threshold_uncertainty_score":0.3346763,"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."}}