{"id":"W2797786454","doi":"10.1002/ieam.4032","title":"Environmental dredging residual generation and management","year":2018,"lang":"en","type":"review","venue":"Integrated Environmental Assessment and Management","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineer Research and Development Center; U.S. Environmental Protection Agency","keywords":"Dredging; Environmental science; Sediment; Contamination; Harbour; Residual; Residual risk; Hydrology (agriculture); Environmental engineering; Engineering; Geology; Oceanography; Ecology; Geotechnical engineering; Computer science","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005341785,0.001409202,0.001322344,0.0002767358,0.0006387347,0.0002625432,0.0005584349,0.000385238,0.002936672],"category_scores_gemma":[0.000001122348,0.001209793,0.0002964491,0.0001952186,0.0009706255,0.0004751979,0.002325469,0.0005470799,0.0009876275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668293,"about_ca_system_score_gemma":0.000007988132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003228403,"about_ca_topic_score_gemma":0.000018408,"domain_scores_codex":[0.994491,0.000310192,0.001142888,0.002097942,0.001013806,0.0009441676],"domain_scores_gemma":[0.9982515,0.00004899065,0.0004848465,0.0007984642,9.4837e-7,0.0004152511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001611511,0.0004475563,0.000746128,0.001268194,0.0008001555,0.0001747806,0.00008284479,0.000006921954,0.00007412145,0.000255478,0.007481747,0.988646],"study_design_scores_gemma":[0.001066284,0.0002781079,0.00302422,0.001084703,0.001969591,0.00007319647,0.0003557807,0.0003824628,0.00001022753,0.00007550346,0.9903371,0.001342836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00424161,0.9697187,0.0005027896,0.0001272181,0.0006797311,0.005710788,0.0003307908,0.0002019023,0.01848647],"genre_scores_gemma":[0.00220555,0.9845033,0.004190683,0.0002845655,0.0002254257,0.0008563009,0.001205742,0.0001628609,0.006365553],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9873031,"threshold_uncertainty_score":0.9998658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774837155506411,"score_gpt":0.2648330835625959,"score_spread":0.2470847120075318,"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."}}