{"id":"W2055853929","doi":"10.1007/s10661-013-3157-8","title":"Monitoring effects of remediation on natural sediment recovery in Sydney Harbour, Nova Scotia","year":2013,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dillon Consulting","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Dredging; Environmental remediation; Harbour; Sediment; Environmental science; Contamination; Nova scotia; Ecotoxicology; Pollution; Sedimentation; Environmental chemistry; Environmental engineering; Oceanography; Geology; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000336843,0.0003296867,0.0003089423,0.00009452106,0.00008140741,0.00003865417,0.0001948807,0.0001068516,0.0003420927],"category_scores_gemma":[0.00002902762,0.0003183334,0.00007045039,0.0001131628,0.0001713507,0.0004231076,0.0003059441,0.0004134677,0.00029636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222168,"about_ca_system_score_gemma":0.000007271124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005213572,"about_ca_topic_score_gemma":0.000002658284,"domain_scores_codex":[0.9975185,0.0001451884,0.0004815917,0.0005814351,0.0008037849,0.0004695152],"domain_scores_gemma":[0.9990516,0.0002085989,0.0001842941,0.0003712908,0.000001211386,0.0001830312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000113109,0.0003981601,0.668992,0.0000312825,0.00002195392,0.000009991178,0.0001906946,0.001437306,0.2819014,0.000002832468,0.00002911976,0.04697391],"study_design_scores_gemma":[0.0005782612,0.0002707835,0.8149267,0.0001605822,0.00001684425,0.000001982566,0.0001976979,0.0002149488,0.1832195,0.00005968518,0.0001074363,0.000245562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962242,0.000355686,0.00004092712,0.0001099589,0.001817223,0.000694125,0.000002469131,0.00002353869,0.0007318227],"genre_scores_gemma":[0.9942201,0.0005474398,0.004712178,0.00002633764,0.0001862901,0.00008963187,0.000004734006,0.00003630011,0.000176956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1459346,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007681318416257897,"score_gpt":0.2481061958077624,"score_spread":0.2404248773915045,"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."}}