{"id":"W7084410491","doi":"10.5281/zenodo.16320951","title":"The impact of the friction law on coupled subglacial hydrology and ice flow modeling","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flow (mathematics); Hydrology (agriculture); Glaciology; Hydrological modelling; Numerical models; Surface runoff","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":[0.001345747,0.001811784,0.0011488,0.00157876,0.0005746257,0.00160967,0.002342142,0.001883886,0.02247868],"category_scores_gemma":[0.004701952,0.0005227928,0.001644719,0.003132476,0.0003557622,0.001065758,0.001145074,0.001389358,0.02245644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640019,"about_ca_system_score_gemma":0.001331198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05160691,"about_ca_topic_score_gemma":0.07223143,"domain_scores_codex":[0.999138,0.0002270931,0.00008502651,0.0002604517,0.0001870884,0.0001022838],"domain_scores_gemma":[0.9986028,0.0005943197,0.0001272629,0.0003171779,0.0002642197,0.00009415241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001270384,0.00005658684,0.004685218,0.0007478215,0.0001517792,0.00005186073,0.0000267374,0.01069868,0.0001485103,0.001087231,0.978525,0.003693615],"study_design_scores_gemma":[0.001311817,0.0000670872,0.0297775,0.0006809752,0.0001718234,0.0001193399,0.0001812075,0.02363741,0.00105376,0.006325702,0.9365559,0.000117459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001094396,0.0001035301,0.0001380239,0.0001569655,0.00002885071,0.000006839405,0.9972107,0.0003944689,0.0008662204],"genre_scores_gemma":[0.002553919,0.00005426606,0.000418445,0.00006435368,0.000006828272,0.00004093909,0.9962752,0.00007599236,0.0005101427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05160691,"threshold_uncertainty_score":0.1026131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370325300840301,"score_gpt":0.2602063155645075,"score_spread":0.2365030625561045,"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."}}