{"id":"W2306093917","doi":"10.12943/cnr.2015.00048","title":"A WEIGHT-OF-EVIDENCE APPROACH TO THE ASSESSMENT OF ECOLOGICAL RISK FROM HISTORICAL CONTAMINATION OF OTTAWA RIVER SEDIMENTS NEAR CHALK RIVER LABORATORIES","year":2015,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Government of Canada","keywords":"Benthic zone; Environmental science; Invertebrate; Trophic level; Sediment; Biota; Bioaccumulation; Mercury (programming language); Contamination; Ecology; Benthos; Hydrology (agriculture); Biology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.07191056,0.003080954,0.003370903,0.03612375,0.002506066,0.009747664,0.006067144,0.004441005,0.002005563],"category_scores_gemma":[0.1528216,0.0015826,0.004125853,0.009042309,0.006267211,0.003180058,0.004963498,0.003499424,0.0001976658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01088654,"about_ca_system_score_gemma":0.009584067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02495301,"about_ca_topic_score_gemma":0.05705576,"domain_scores_codex":[0.9413479,0.03383153,0.006548212,0.002765929,0.01461416,0.0008922583],"domain_scores_gemma":[0.8666046,0.09181884,0.01495977,0.003974844,0.02093817,0.001703806],"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":[0.004743936,0.001055964,0.2034336,0.0272732,0.03269188,0.005065686,0.003818733,0.09928028,0.004796321,0.0954015,0.00677328,0.5156655],"study_design_scores_gemma":[0.003082197,0.01589368,0.1390647,0.03955947,0.04864561,0.00463648,0.009435169,0.2415883,0.006595694,0.4026112,0.08784938,0.001038116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3294723,0.09520895,0.4514031,0.02458556,0.001749636,0.01500412,0.005871448,0.0003123656,0.07639261],"genre_scores_gemma":[0.7642115,0.01347903,0.2158205,0.001023894,0.000320734,0.002741954,0.0005130893,0.00001684852,0.001872307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.975047,"threshold_uncertainty_score":0.3803039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05551699721640262,"score_gpt":0.2869172608942187,"score_spread":0.231400263677816,"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."}}