{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01625111,0.0001431667,0.0002008021,0.0001090635,0.000790149,0.0002735061,0.0006644281,0.00008217696,0.003007957],"category_scores_gemma":[0.000102263,0.00007194309,0.00009525731,0.000370244,0.0004186664,0.0004552035,0.0002396687,0.0008519299,0.0004698916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787718,"about_ca_system_score_gemma":0.00001249661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001224,"about_ca_topic_score_gemma":0.007552327,"domain_scores_codex":[0.9922736,0.004630747,0.0005194545,0.0002848385,0.001501956,0.0007893765],"domain_scores_gemma":[0.9992136,0.0001489831,0.00006626559,0.0003391258,0.00005305388,0.0001789326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006917116,0.002039951,0.6831539,0.0001371118,0.0001681588,0.0009146003,0.2354755,0.0005746594,0.02292755,0.000838438,0.02386322,0.02921514],"study_design_scores_gemma":[0.002478262,0.0007644177,0.5241063,0.0001311089,0.00002554215,0.0003722083,0.02538322,0.00026194,0.002825446,0.01502099,0.4281181,0.0005124114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870422,0.000353722,0.00002426257,0.009788518,0.00009877679,0.0002783524,0.000003371242,0.0000149988,0.002395831],"genre_scores_gemma":[0.9966279,0.0009353277,0.00003830347,0.0004931353,0.0002274561,0.00002239035,0.00002921786,0.00001033819,0.001615989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4042549,"threshold_uncertainty_score":0.9979034,"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."}}