{"id":"W1567365373","doi":"10.1002/jgrf.20063","title":"Thawing of massive ground ice in mega slumps drives increases in stream sediment and solute flux across a range of watershed scales","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Ottawa; Carleton University; Aboriginal Affairs Northern Dev Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Aboriginal Affairs and Northern Development Canada; Aurora Research Institute; Gwich'in Renewable Resources Board","keywords":"Slumping; Thermokarst; Permafrost; STREAMS; Geology; Hydrology (agriculture); Sediment; Environmental science; Arctic; Fluvial; Watershed; Geomorphology; Oceanography; Structural basin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377671,0.0001389897,0.0004912437,0.0001819865,0.00007341459,0.00007568715,0.0002456534,0.00007349028,0.0006049861],"category_scores_gemma":[0.0001971601,0.000101487,0.00008778365,0.0004657888,0.0003930792,0.0006327544,0.00007959741,0.000468301,0.00002268341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001042954,"about_ca_system_score_gemma":0.00007448853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05244899,"about_ca_topic_score_gemma":0.01934775,"domain_scores_codex":[0.9974555,0.0004126494,0.0005334631,0.0001874508,0.0008463564,0.0005645189],"domain_scores_gemma":[0.9977874,0.001358736,0.0001913999,0.0001379957,0.0002910993,0.0002333898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003521524,0.0001986937,0.968357,0.0001442427,0.00003245953,0.00007432878,0.002747929,0.0003525377,0.02368767,0.000005516147,0.00009237799,0.003955069],"study_design_scores_gemma":[0.0009701583,0.0006165017,0.9882175,0.0002686072,0.000005436673,0.000008597446,0.004057747,0.002323166,0.003007476,0.0003895262,0.00003775561,0.00009752015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997983,0.0009649772,0.000001094757,0.0004046905,0.00003550251,0.0002389984,0.0002307302,0.000001978922,0.0001390749],"genre_scores_gemma":[0.9990537,0.0005893835,0.0001523959,0.00001557275,0.00007404314,8.539274e-7,0.00002735877,0.00000484164,0.00008187639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03310124,"threshold_uncertainty_score":0.9985466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327485444722567,"score_gpt":0.317819408645114,"score_spread":0.2645445541978884,"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."}}