{"id":"W3112015453","doi":"10.1073/pnas.2013311117","title":"Divergence of Arctic shrub growth associated with sea ice decline","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université Laval; McGill University; Université du Québec à Trois-Rivières; Université du Québec à Rimouski; University of Manitoba","funders":"Natural Environment Research Council; University of the Arctic; National Research Foundation; Natural Sciences and Engineering Research Council of Canada; European Commission; Academy of Finland; Research Councils UK; US-UK Fulbright Commission; Sight Research UK; Danmarks Grundforskningsfond; ArcticNet; National Science Foundation","keywords":"Shrub; Divergence (linguistics); Arctic; Sea ice; Geography; Physical geography; Oceanography; Environmental science; Climatology; Ecology; Biology; Geology; Meteorology","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":[0.000640701,0.000149463,0.0002266151,0.0006774989,0.000217089,0.000365065,0.000150743,0.000182679,0.0007887837],"category_scores_gemma":[0.001689639,0.0001045986,0.0002448946,0.0004086882,0.0002609474,0.0002349059,0.0003890225,0.0002355947,0.0001150665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486273,"about_ca_system_score_gemma":0.0001810607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006737106,"about_ca_topic_score_gemma":0.01598285,"domain_scores_codex":[0.9997914,0.0000618027,0.00001552675,0.00007014781,0.00002516304,0.00003594532],"domain_scores_gemma":[0.9989824,0.0002368203,0.0003516736,0.0001104708,0.0001839204,0.0001347612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000830885,0.000009463253,0.9912778,0.000009383021,0.00005149287,0.00003553992,0.000188609,0.0002948731,0.005130963,0.00004868193,0.00003676626,0.00283345],"study_design_scores_gemma":[3.964907e-7,0.000007111853,0.999604,7.916028e-7,0.000002327453,0.00001856085,0.00004907193,0.000184014,0.00007789601,0.00001717163,0.00003786994,7.100396e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993538,0.0000645038,0.0001369414,0.00001239828,0.000001673192,0.000001006952,0.0000924007,0.000003609999,0.0003336902],"genre_scores_gemma":[0.9996464,0.00002786184,0.00007200065,0.00000930332,0.000002030814,0.000001473631,0.000171468,0.000001791217,0.00006773382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006737106,"threshold_uncertainty_score":0.01339579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618546559798817,"score_gpt":0.2698763344934407,"score_spread":0.1936908688954525,"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."}}