{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002985241,0.0006050368,0.0003988877,0.00156519,0.0007900109,0.001805374,0.001744393,0.000489898,0.003030199],"category_scores_gemma":[0.002521196,0.000179929,0.0004144085,0.001280563,0.0005834861,0.0009336139,0.001538384,0.0005453949,0.0008598738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890837,"about_ca_system_score_gemma":0.003634439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03921314,"about_ca_topic_score_gemma":0.09493073,"domain_scores_codex":[0.9985126,0.0001704586,0.0001170999,0.0001845802,0.0008315371,0.0001837439],"domain_scores_gemma":[0.9979827,0.0001951072,0.0003818587,0.0002059448,0.001088669,0.0001456626],"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":[0.0003020608,0.0002900116,0.1273158,0.0008684444,0.0001262157,0.000815905,0.0008516423,0.07635973,0.03034713,0.00348445,0.009547083,0.7496916],"study_design_scores_gemma":[0.000140934,0.003369961,0.4855337,0.001470261,0.0005080629,0.0008554623,0.004780392,0.1174125,0.125362,0.008123223,0.2520857,0.0003578257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8116135,0.004810698,0.1261767,0.001483397,0.0001668661,0.002114757,0.00329276,0.002371984,0.0479693],"genre_scores_gemma":[0.927371,0.002935049,0.04959372,0.0001675451,0.00002795176,0.0002596469,0.002394599,0.0001671673,0.01708331],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03921314,"threshold_uncertainty_score":0.07796979,"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."}}