{"id":"W2490245248","doi":"10.2166/wqrj.2001.021","title":"Contaminated Sediment Remediation in the Laurentian Great Lakes: an Overview","year":2001,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Environmental remediation; Sediment; Environmental science; Pollutant; Pollution; Contamination; Environmental protection; Environmental engineering; Waste management; Environmental planning; Ecology; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004070334,0.0002825298,0.0002258657,0.002018094,0.0003561277,0.001076405,0.0003261763,0.0004520688,0.001122624],"category_scores_gemma":[0.0003232025,0.00009962774,0.0002467527,0.001816372,0.0002681219,0.0003804891,0.0004251366,0.0001463141,0.0001972085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789568,"about_ca_system_score_gemma":0.002321739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06270137,"about_ca_topic_score_gemma":0.1414324,"domain_scores_codex":[0.9997769,0.00005258479,0.00002881557,0.00002240825,0.00007527002,0.00004390415],"domain_scores_gemma":[0.9996946,0.00005454337,0.00005154276,0.000006417602,0.0001410891,0.00005176789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003742237,0.0004795108,0.06245521,0.01062489,0.0002825669,0.003356838,0.002121402,0.003074206,0.01431111,0.001638931,0.02204487,0.8792363],"study_design_scores_gemma":[0.00007251443,0.002213063,0.2694249,0.001285589,0.0003955928,0.003928208,0.002837558,0.001438377,0.009957052,0.0009940916,0.7073771,0.00007599968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2957899,0.6521811,0.0019254,0.009094984,0.0003992533,0.0001623891,0.0003745944,0.0001290975,0.03994316],"genre_scores_gemma":[0.3890439,0.5836005,0.003308086,0.002701931,0.0009287476,0.0000688077,0.0005922858,0.00001533722,0.01974047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9372987,"threshold_uncertainty_score":0.1246728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2975717213160581,"score_gpt":0.4091521617269671,"score_spread":0.1115804404109089,"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."}}