{"id":"W2603145197","doi":"10.1139/as-2016-0047","title":"Remote sensing evaluation of High Arctic wetland depletion following permafrost disturbance by thermo-erosion gullying processes","year":2017,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Government of Canada; Parks Canada; Université du Québec à Trois-Rivières; ArcticNet; Natural Resources Canada; Université de Montréal; Université Laval","keywords":"Permafrost; Tundra; Wetland; Environmental science; Erosion; Vegetation (pathology); Disturbance (geology); Hydrology (agriculture); Arctic; Normalized Difference Vegetation Index; Thermokarst; Physical geography; Climate change; Geology; Ecology; Geomorphology; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020374,0.0001518527,0.0001870787,0.00008033479,0.001516456,0.0003572412,0.0005185364,0.00004720155,0.0003996665],"category_scores_gemma":[0.001575332,0.0001243931,0.00004847271,0.0003175952,0.0004836277,0.001033469,0.00004973208,0.0001048819,0.00003241247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003432725,"about_ca_system_score_gemma":0.0001872747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02635439,"about_ca_topic_score_gemma":0.01056171,"domain_scores_codex":[0.9976653,0.00006923932,0.0002422234,0.0004635963,0.001164987,0.000394602],"domain_scores_gemma":[0.9985013,0.0001837697,0.0003080885,0.0005136775,0.0003797802,0.0001134005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000257236,0.00001095719,0.905775,0.0001153225,0.000006595295,0.000004046696,0.001040548,0.0001837137,0.05019362,0.00000355642,0.00003815042,0.04260276],"study_design_scores_gemma":[0.0004418802,0.00006320308,0.9474402,0.0004246419,0.0000641892,0.00002119538,0.000281008,0.04493119,0.004820995,0.001227725,0.00006472108,0.0002190525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969882,0.0005475944,0.0002659089,0.0004110705,0.0006988765,0.000245765,0.0002085084,0.00001711552,0.000617001],"genre_scores_gemma":[0.998998,0.0001228802,0.0003750658,0.00009625,0.000086292,3.949355e-7,0.0002850939,0.000005118427,0.00003088673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04537262,"threshold_uncertainty_score":0.9997835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444869191129532,"score_gpt":0.2911673099411752,"score_spread":0.2367186180298799,"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."}}