{"id":"W2955395003","doi":"10.1016/j.marpolbul.2019.06.055","title":"Baseline assessment of contaminants in marine biota prior to remediation of industrial effluent impacted sediments in a former tidal estuary in Nova Scotia, Canada","year":2019,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dartmouth General Hospital; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biota; Environmental science; Effluent; Environmental remediation; Dredging; Baseline (sea); Estuary; Sediment; Pollution; Contamination; Oceanography; Environmental engineering; Ecology; Geology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073768,0.0003850815,0.0004946035,0.001131511,0.002252101,0.0011091,0.0006155719,0.000511976,0.0005802067],"category_scores_gemma":[0.0005993927,0.0002882259,0.0003134951,0.001459092,0.0006637071,0.0002846658,0.0007142758,0.0004134802,0.0002289542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389195,"about_ca_system_score_gemma":0.01434885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9727137,"about_ca_topic_score_gemma":0.9894136,"domain_scores_codex":[0.9993752,0.0000293726,0.00003523916,0.0001171224,0.0002971021,0.0001459965],"domain_scores_gemma":[0.9989238,0.0000332677,0.0001153366,0.00002294216,0.0007767034,0.0001279306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000589569,0.0002288062,0.9711928,0.00008443832,0.00006742985,0.0005749077,0.001029729,0.0009592488,0.01751325,0.00008614718,0.0006779885,0.006995732],"study_design_scores_gemma":[0.000004306261,0.0000868828,0.9977431,0.000007266342,0.00001260307,0.00002811267,0.0006279689,0.0002055609,0.0006051357,0.000007898003,0.0006670118,0.000004087517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962495,0.0001369951,0.0001151391,0.00005197116,0.000006801878,0.00005417903,0.001510352,0.000009018186,0.001866148],"genre_scores_gemma":[0.9957111,0.0001784094,0.0002996741,0.00006646034,0.000003233918,0.00002319786,0.001135723,0.000003926678,0.002578354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02728629,"threshold_uncertainty_score":0.1007936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057430100779193,"score_gpt":0.2434209178861465,"score_spread":0.2328466168783545,"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."}}