{"id":"W3214265771","doi":"10.1029/2021jf006309","title":"Modeling the Dynamics of Supraglacial Rivers and Distributed Meltwater Flow With the Subaerial Drainage System (SaDS) Model","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Greenland ice sheet; Meltwater; Geology; Snowmelt; Glacier; Subaerial; Hydrology (agriculture); Geomorphology; Climatology; Snow","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018202,0.0001004373,0.0002492519,0.00001446964,0.0005064803,0.000111406,0.000247325,0.00003752656,0.00003599914],"category_scores_gemma":[0.0001525193,0.00004777767,0.00008478308,0.0004246201,0.0003118654,0.0001670942,0.00006092915,0.0004629506,0.000003891364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001309383,"about_ca_system_score_gemma":0.0002387218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118753,"about_ca_topic_score_gemma":0.00328319,"domain_scores_codex":[0.9981251,0.0002738332,0.0002502646,0.0001369334,0.0008965641,0.0003172806],"domain_scores_gemma":[0.9982141,0.000672336,0.00009278362,0.0001765125,0.0007380398,0.0001062539],"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":[0.0003532486,0.00002832466,0.005528404,0.00003651056,0.0001013118,0.00004470407,0.000810308,0.9902346,0.0001149579,0.0007462621,0.0001654385,0.00183597],"study_design_scores_gemma":[0.0003435083,0.0001665885,0.03064521,0.00003536935,0.00002944881,0.00001530225,0.003704596,0.9644942,0.00003891715,0.0002972943,0.0001694488,0.00006007635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862642,0.0002727506,0.0100524,0.00293461,0.00008321852,0.0001142559,0.0001398932,0.000004136011,0.0001345534],"genre_scores_gemma":[0.9982573,0.00009477447,0.001296928,0.00001892071,0.0001335539,2.949254e-7,0.00001776067,0.000003843401,0.0001766621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02574032,"threshold_uncertainty_score":0.3895488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067279345142301,"score_gpt":0.2566721813045468,"score_spread":0.2259993878531238,"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."}}