{"id":"W2011062419","doi":"10.1016/j.advwatres.2005.07.016","title":"A modified ISBA surface scheme for modeling the hydrology of Athabasca River Basin with GCM-scale data","year":2005,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Water Research Institute","keywords":"Downscaling; Environmental science; Surface runoff; Streamflow; Climatology; Evapotranspiration; Climate model; Vegetation (pathology); Spatial variability; Hydrology (agriculture); Biosphere; Meteorology; Precipitation; Climate change; Drainage basin; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002633109,0.0004260367,0.0003893707,0.000325936,0.0006346899,0.0008144528,0.001676669,0.0006506286,0.004952561],"category_scores_gemma":[0.0007657015,0.0003352718,0.0005261455,0.0009110508,0.0002274713,0.0007741502,0.0004434549,0.0008116215,0.0007334243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009468172,"about_ca_system_score_gemma":0.00144952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1120859,"about_ca_topic_score_gemma":0.09768202,"domain_scores_codex":[0.9998728,0.00003052887,0.00001069582,0.00002261791,0.0000420395,0.00002125437],"domain_scores_gemma":[0.9997196,0.00002523565,0.00001667814,0.00009026158,0.0001224597,0.00002567976],"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":[0.0001299297,0.0001229449,0.006959025,0.00004406283,0.0001129922,0.00008214438,0.0001074865,0.9210762,0.006975397,0.01418119,0.01320424,0.03700436],"study_design_scores_gemma":[0.00003442811,0.00000742972,0.001495236,0.000002818095,0.000009144866,0.000006110005,0.00001403803,0.9918414,0.0006605128,0.001544621,0.004373466,0.00001076489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3506984,0.0004048188,0.5760732,0.001245499,0.0006619191,0.0004595692,0.02403512,0.01390487,0.03251662],"genre_scores_gemma":[0.8345598,0.000159717,0.1459754,0.0001130313,0.00007181158,0.000372252,0.007902469,0.0006619304,0.01018354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8879141,"threshold_uncertainty_score":0.222867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649891887148567,"score_gpt":0.2607728532947145,"score_spread":0.2342739344232288,"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."}}