{"id":"W2149720979","doi":"10.5194/bgd-12-11797-2015","title":"Nonlinear thermal and moisture dynamics of high Arctic wetland polygons following permafrost disturbance","year":2015,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Université Laval; Center for Northern Studies","funders":"","keywords":"Permafrost; Geology; Arctic; Wetland; Ice wedge; Snow; Subsoil; Water content; Terrain; Hydrology (agriculture); Geomorphology; Environmental science; Soil science; Soil water; Oceanography; Geography; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007364125,0.00006961956,0.0001058085,0.0002496849,0.0002060921,0.0003241369,0.0001078979,0.00008879791,0.001030664],"category_scores_gemma":[0.0003689685,0.00006855728,0.00008819815,0.0002008584,0.0001819257,0.0001300606,0.000184372,0.00009695264,0.0001327393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988464,"about_ca_system_score_gemma":0.0001045368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01624353,"about_ca_topic_score_gemma":0.02112784,"domain_scores_codex":[0.99997,0.000004099735,0.000001032883,0.000006691488,0.000005465658,0.00001272833],"domain_scores_gemma":[0.999864,0.00003064654,0.00003403698,0.000008807251,0.00003200774,0.00003037275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007555429,0.0001320108,0.9331446,0.00003310896,0.00006036721,0.0005484627,0.0007687873,0.01475973,0.03547462,0.0003164485,0.0005038567,0.01350248],"study_design_scores_gemma":[0.000002138236,0.00002715729,0.9863096,0.000002255621,0.000003539714,0.00005388699,0.0002749032,0.01249615,0.0006263648,0.00005154467,0.0001493698,0.000003038484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996604,0.000006117677,0.00005603485,0.000003842559,5.064229e-7,7.783378e-7,0.00005871841,0.000002537568,0.0002111875],"genre_scores_gemma":[0.9998349,0.000003211175,0.00002125918,7.490451e-7,2.915526e-7,7.245897e-7,0.00006703143,7.4223e-7,0.00007103297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01624353,"threshold_uncertainty_score":0.03229797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198827984703926,"score_gpt":0.2287074921531229,"score_spread":0.2067192123060836,"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."}}