{"id":"W4389580650","doi":"10.1017/jog.2023.103","title":"Improved representation of laminar and turbulent sheet flow in subglacial drainage models","year":2023,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Laminar flow; Turbulence; Geology; Reynolds number; Mechanics; Flow (mathematics); Drainage; Open-channel flow; Hydrology (agriculture); Forcing (mathematics); Laminar-turbulent transition; Geomorphology; Geotechnical engineering; Climatology; Physics","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":[0.0003307048,0.00005198889,0.0002065034,0.00007337472,0.00003806394,0.000005502828,0.00006921138,0.00004577727,0.00007145361],"category_scores_gemma":[0.00009985452,0.00004024928,0.00004049808,0.0002450379,0.00006813737,0.0001230147,0.00001128744,0.00009144979,0.000002070838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003626903,"about_ca_system_score_gemma":0.00002349229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139358,"about_ca_topic_score_gemma":0.001144197,"domain_scores_codex":[0.9993426,0.00006151778,0.0003125862,0.00007823302,0.00008031759,0.0001248052],"domain_scores_gemma":[0.9994975,0.0001940844,0.0001659453,0.00005281382,0.00005766568,0.00003203236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004337608,0.00003803172,0.8407429,0.00004256249,0.00007196752,0.0001387522,0.006004085,0.1127316,0.0006427136,0.0004149455,0.002052236,0.03668644],"study_design_scores_gemma":[0.0004686157,0.0002853716,0.8267271,0.000009488219,0.00001018276,0.00003089148,0.00144409,0.1654684,0.00001628674,0.005179237,0.0003146942,0.00004569074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976239,0.0004565275,0.0002718476,0.001156236,0.0002187456,0.00005490844,0.00000652956,0.000003970872,0.0002073913],"genre_scores_gemma":[0.9983404,0.0006224564,0.0008147765,0.00007330644,0.00008787778,3.256853e-7,0.000009884461,0.000001363754,0.00004960192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05273676,"threshold_uncertainty_score":0.1641318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235936954083577,"score_gpt":0.2546577204147987,"score_spread":0.222298350873963,"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."}}