{"id":"W2731980796","doi":"","title":"Hydrodynamic and sediment transport study of Sudbury River, Massachusetts: numerical model investigation","year":2001,"lang":"en","type":"article","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coastal and Hydraulics Laboratory; Engineer Research and Development Center","keywords":"Sediment transport; Hydrology (agriculture); Geology; Sediment; Numerical models; Geomorphology; Geotechnical engineering; Environmental science; Numerical modeling; Geophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006882398,0.0002864551,0.0003798253,0.0003007519,0.0001129952,0.000008360942,0.0002648672,0.0001230458,0.0001268588],"category_scores_gemma":[0.00002432511,0.0002662687,0.0000328832,0.0004856206,0.0004507875,0.0002497683,0.0001215159,0.0003450301,0.00001468407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009928938,"about_ca_system_score_gemma":0.00007330879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007678325,"about_ca_topic_score_gemma":0.00007500386,"domain_scores_codex":[0.9977445,0.00004408707,0.0005523413,0.0005071014,0.0006158945,0.0005360761],"domain_scores_gemma":[0.9992009,0.00009374974,0.00006762822,0.0002291967,0.00008578791,0.0003227243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003459443,0.002576075,0.9317797,0.0003162239,0.0002262787,0.0000669349,0.02249182,0.03397661,0.004317792,0.00009571546,0.0003291202,0.003477817],"study_design_scores_gemma":[0.01019281,0.002806098,0.6318179,0.0003784856,0.0001319262,0.00006895146,0.001732846,0.3362126,0.008332278,0.0009009114,0.005878396,0.001546754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990986,0.0004589996,0.007285833,0.00004336748,0.00006860797,0.0005715397,0.00001153486,0.00004541825,0.00052873],"genre_scores_gemma":[0.9969302,0.0002558703,0.002393599,0.00001709571,0.00001443197,0.00005700096,0.00006370366,0.00002722562,0.0002408585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.302236,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901513503730908,"score_gpt":0.2735016694431139,"score_spread":0.2344865344058049,"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."}}