{"id":"W2937873350","doi":"10.1111/gcb.14639","title":"Local snow melt and temperature—but not regional sea ice—explain variation in spring phenology in coastal Arctic tundra","year":2019,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Sight Research UK; ArcticNet; National Science Foundation; Government of Canada; Arctic Institute of North America","keywords":"Tundra; Phenology; Snow; Spring (device); Environmental science; Climatology; Arctic; Cryosphere; Sea ice; Arctic ice pack; Physical geography; Precipitation; Variation (astronomy); Climate change; Oceanography; Geology; Geography; Ecology; Meteorology","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":[0.001018225,0.0003553231,0.0004471029,0.0007218479,0.0005105277,0.0007823894,0.0003627698,0.0003021643,0.000988676],"category_scores_gemma":[0.001766816,0.0002353235,0.000851042,0.0007507699,0.0003520452,0.0002870418,0.0004850969,0.000269959,0.0002184511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004793041,"about_ca_system_score_gemma":0.0004307186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05541138,"about_ca_topic_score_gemma":0.09216852,"domain_scores_codex":[0.9995989,0.0001392378,0.00003377401,0.0001371827,0.00003475736,0.00005621681],"domain_scores_gemma":[0.9986473,0.000536633,0.0003014313,0.0001832632,0.0001239071,0.0002075179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001823098,0.00003013157,0.990671,0.00001271541,0.0003273537,0.00005629184,0.000248563,0.0005163707,0.005127062,0.00002077121,0.0000720075,0.002735304],"study_design_scores_gemma":[0.000001777764,0.00001834098,0.9989852,0.000002829652,0.00003141034,0.00001636146,0.0001505954,0.0006215523,0.00007483643,0.00001458757,0.00008019541,0.000002328336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995607,0.0001116642,0.00008010711,0.00001190624,0.000002601108,0.000001151788,0.0001095099,0.000005760955,0.0001166936],"genre_scores_gemma":[0.9995244,0.00004359429,0.00009180007,0.000009465303,0.000002437814,0.000002342916,0.0002165794,0.000005082585,0.000104344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05541138,"threshold_uncertainty_score":0.1101778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119856277983849,"score_gpt":0.2486122161482313,"score_spread":0.2074136533683928,"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."}}