{"id":"W2552499234","doi":"10.1139/as-2016-0019","title":"A synthesis of thermokarst lake water balance in high-latitude regions of North America from isotope tracers","year":2016,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; University of Waterloo; Université Laval; University of Victoria; Brock University; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermokarst; Permafrost; Arctic; Environmental science; Physical geography; Bay; Hydrology (agriculture); Water balance; Surface water; Climate change; Vegetation (pathology); Geology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002141554,0.0000866506,0.0001859005,0.0001077291,0.00006372962,0.00001249704,0.0004300162,0.00002031008,0.003283045],"category_scores_gemma":[0.000129222,0.00004703272,0.00003351494,0.0004270885,0.000788893,0.0002899183,0.00002399681,0.00004124519,0.0001037499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006251199,"about_ca_system_score_gemma":0.00004709599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01343801,"about_ca_topic_score_gemma":0.09450046,"domain_scores_codex":[0.9988949,0.00003539696,0.0002159659,0.0002624303,0.0002976151,0.0002937291],"domain_scores_gemma":[0.999093,0.0004214798,0.00008508458,0.0002777477,0.00004672038,0.00007599441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002148056,0.00001826117,0.9786817,0.000008426136,0.000003443341,0.000004006401,0.0008830953,0.0001305985,0.009989564,0.000009108391,0.00001600485,0.01023432],"study_design_scores_gemma":[0.000132202,0.00004500511,0.9933568,0.00009293602,0.000006371654,0.000001450127,0.00009544775,0.0004799842,0.005220784,0.0002450446,0.0002344154,0.00008956037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975837,0.00004323885,0.00004465664,0.0008700198,0.0001137412,0.00008313172,0.0008151653,0.000006826072,0.0004395161],"genre_scores_gemma":[0.9993193,0.000221453,0.0002732275,0.0001075627,0.00002110702,0.000002006288,0.00002785157,0.000002022407,0.00002549233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08106246,"threshold_uncertainty_score":0.9976281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190392520099915,"score_gpt":0.2161690906172848,"score_spread":0.1942651654162857,"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."}}