{"id":"W4403469886","doi":"10.1016/j.jhydrol.2024.132161","title":"Assessment of a hydrologic-land surface model to simulate thermo-hydrologic evolution of permafrost regions","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canada Excellence Research Chairs, Government of Canada; Global Water Futures; University of Saskatchewan","keywords":"Permafrost; Hydrology (agriculture); Hydrological modelling; Environmental science; Surface water; Geology; Climatology; Geotechnical engineering; Oceanography","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":[0.001675976,0.001191316,0.000739456,0.0004740287,0.0006940998,0.001387608,0.00152061,0.001438486,0.00143287],"category_scores_gemma":[0.002138368,0.0003725885,0.0007990528,0.0003135292,0.0004157252,0.0007335215,0.000912445,0.001010017,0.0002150484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236218,"about_ca_system_score_gemma":0.003928385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.128839,"about_ca_topic_score_gemma":0.07148021,"domain_scores_codex":[0.9997686,0.00008205984,0.0000159559,0.00004520638,0.00004775333,0.00004046813],"domain_scores_gemma":[0.9992489,0.0002738329,0.00005802555,0.00005141848,0.0002381294,0.0001296314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007265648,0.00008496177,0.004936946,0.00002860865,0.00004717304,0.00003866975,0.00001676718,0.9910237,0.0006337768,0.00045692,0.0002775797,0.00238221],"study_design_scores_gemma":[0.00002122726,0.00002834119,0.0005994524,0.000004666979,0.0000118388,0.000002276105,0.00001319653,0.998804,0.0002372425,0.0001113645,0.000162186,0.000004309907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961604,0.0004141105,0.02450809,0.001176043,0.0001224673,0.0003237636,0.002250968,0.0009864991,0.00861416],"genre_scores_gemma":[0.9830494,0.0001232764,0.01398744,0.00009666185,0.00001788501,0.0001235653,0.001527194,0.00005829786,0.00101624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.128839,"threshold_uncertainty_score":0.2561783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413350991349726,"score_gpt":0.2965704277113942,"score_spread":0.2552353285764217,"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."}}