{"id":"W4392857199","doi":"10.22541/essoar.171052504.47039219/v1","title":"Coupled high-resolution land-atmosphere modeling for hydroclimate and terrestrial hydrology in Alaska and the Yukon River Basin (1990-2021)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Weather Research and Forecasting Model; Environmental science; Climatology; Precipitation; Climate model; Drainage basin; Hydrometeorology; Flood forecasting; Hydrological modelling; Snow; Downscaling; Climate change; Structural basin; Hydrology (agriculture); Meteorology; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007904118,0.0006038835,0.0004259045,0.0004642042,0.0006827114,0.0008261257,0.0008872536,0.0009338052,0.0008560564],"category_scores_gemma":[0.001064836,0.0004412832,0.0008433191,0.0008426171,0.0003593274,0.00077567,0.0005795783,0.0007634429,0.0001284387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603526,"about_ca_system_score_gemma":0.002356673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2828628,"about_ca_topic_score_gemma":0.2350308,"domain_scores_codex":[0.9998066,0.00005430904,0.00001817246,0.00006696098,0.00002601764,0.00002806534],"domain_scores_gemma":[0.9997036,0.00009121469,0.00003577084,0.00003227037,0.00009151285,0.00004565001],"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":[0.0001010841,0.0001122004,0.0453811,0.00004754046,0.0001828292,0.0001271624,0.00008558352,0.9463825,0.001146346,0.0008126341,0.001359235,0.004261766],"study_design_scores_gemma":[0.00006843065,0.00003595054,0.02785199,0.00001534062,0.00006835278,0.00001410284,0.0001143029,0.9694825,0.0005721471,0.0005284476,0.001219304,0.00002916032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877726,0.0002907087,0.003351475,0.0003590787,0.00006454321,0.0000315433,0.005942595,0.0002534054,0.001934128],"genre_scores_gemma":[0.9911828,0.0001138328,0.00358584,0.00003278263,0.00001369156,0.00004701281,0.004551685,0.0000234719,0.000448859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7171372,"threshold_uncertainty_score":0.5624328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001090846562258,"score_gpt":0.2422035783686277,"score_spread":0.2121926699030051,"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."}}