{"id":"W4405261577","doi":"10.3389/frwa.2024.1430374","title":"Quantifying the effects of water management decisions on streambank stability","year":2024,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"U.S. Geological Survey","keywords":"Environmental science; STREAMS; Hydrology (agriculture); Surface water; Pore water pressure; Erosion; Subsurface flow; Groundwater; Geology; Environmental engineering; Geotechnical engineering; Computer science; Geomorphology","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":[0.0007950417,0.0003619318,0.0002439312,0.0004720458,0.0002432403,0.0008670705,0.0003662235,0.000487383,0.0007116646],"category_scores_gemma":[0.002804592,0.0002222173,0.0003649571,0.0005132222,0.0002909012,0.001239743,0.0004969756,0.0002642524,0.00007321881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113774,"about_ca_system_score_gemma":0.001131086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251553,"about_ca_topic_score_gemma":0.02422085,"domain_scores_codex":[0.9997599,0.0000693145,0.00001486033,0.00006827554,0.00005122769,0.00003643051],"domain_scores_gemma":[0.9988027,0.0006253315,0.000306527,0.00008616803,0.0001211316,0.00005830443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003210042,0.00004945441,0.06321575,0.00001790205,0.00005060498,0.00003192719,0.00003529416,0.9242687,0.002072787,0.00107725,0.0001118671,0.00903634],"study_design_scores_gemma":[0.00000548735,0.00007289507,0.03333451,0.000006422702,0.00002378805,0.000009250393,0.00003877765,0.9643767,0.0009809716,0.000884447,0.0002516095,0.00001509732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789176,0.00006772032,0.01890452,0.00006842984,0.000005006832,0.00002939128,0.000356887,0.00005516371,0.001595343],"genre_scores_gemma":[0.9966534,0.00006040143,0.002872568,0.000005979337,0.000001999787,0.000009822983,0.0001496336,0.000005620856,0.000240608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02251553,"threshold_uncertainty_score":0.04476899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477117702274313,"score_gpt":0.2349291463764623,"score_spread":0.2201579693537192,"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."}}