{"id":"W2322166503","doi":"10.1061/40763(178)122","title":"Effectiveness of Stream Restoration in Reducing Stream Bank Erosion: The Case of Batavia Kill Stream Restoration Projects, New York","year":2005,"lang":"en","type":"article","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; York University; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Erosion; Watershed; Stream restoration; Bank erosion; Hydrology (agriculture); Environmental science; Sediment; Bank; Vegetation (pathology); Multivariate statistics; Bank failure; Soil conservation; Stream flow; Regression analysis; STREAMS; Geology; Drainage basin; Computer science; Geography; Geotechnical engineering; Machine learning; Geomorphology; Archaeology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666699,0.0002507494,0.0003231569,0.0003915199,0.0005682944,0.001047218,0.0006296734,0.0003460459,0.0008430041],"category_scores_gemma":[0.004488854,0.0001921751,0.0002392275,0.0004578415,0.0007438117,0.0004478869,0.0007688704,0.0004735714,0.00007269555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868236,"about_ca_system_score_gemma":0.002833673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2771082,"about_ca_topic_score_gemma":0.5464752,"domain_scores_codex":[0.9991197,0.0004717841,0.00002963051,0.00006587347,0.0001532001,0.0001598182],"domain_scores_gemma":[0.9984566,0.0006457719,0.0002606795,0.0000729687,0.0003016052,0.0002624438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001757571,0.001414963,0.7707471,0.0003183811,0.0004856835,0.002728513,0.00181293,0.1022605,0.007202835,0.004141423,0.003064756,0.1040653],"study_design_scores_gemma":[0.0002285902,0.002224268,0.8669756,0.0001354176,0.0003625651,0.0006857058,0.005341459,0.1106562,0.005983277,0.001014893,0.006333731,0.00005844426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981877,0.0001472277,0.0002629751,0.0001494766,0.000003259819,0.00002482345,0.00003071529,0.00001049422,0.001183392],"genre_scores_gemma":[0.997614,0.0002689753,0.0007963299,0.00001810252,0.000002803283,0.00001662981,0.00007999572,0.000004596263,0.001198535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2771082,"threshold_uncertainty_score":0.5509905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632640442556785,"score_gpt":0.2474322359037841,"score_spread":0.2311058314782163,"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."}}