{"id":"W1994715578","doi":"10.1016/j.envpol.2005.05.023","title":"Lac Dufault sediment core trace metal distribution, bioavailability and toxicity to Hyalella azteca","year":2005,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyalella azteca; Sediment; Bioaccumulation; Bioavailability; Environmental chemistry; Trace metal; Environmental science; Metal toxicity; Geology; Metal; Chemistry; Amphipoda; Ecology; Biology; Heavy metals; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001199045,0.0002192841,0.0002469963,0.0003954308,0.0004071,0.0005319886,0.0003038687,0.0003556981,0.000826453],"category_scores_gemma":[0.0001821628,0.0001458437,0.0001508494,0.0002898526,0.0002537271,0.0002877311,0.0003428214,0.0003100563,0.0002970786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607672,"about_ca_system_score_gemma":0.0003430214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06680641,"about_ca_topic_score_gemma":0.06354094,"domain_scores_codex":[0.9998692,0.000009943541,0.000005439168,0.00005542145,0.00003939083,0.00002053114],"domain_scores_gemma":[0.9998751,0.00001912168,0.0000248597,0.00001269485,0.00004827164,0.00001989091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001117506,0.00004718922,0.02066679,0.00004933301,0.00003148896,0.0001021136,0.0001439258,0.0004615466,0.9706696,0.00005322269,0.0001296419,0.006527701],"study_design_scores_gemma":[0.00004190912,0.001156442,0.7182827,0.00001144273,0.0000710528,0.0001886749,0.0002766243,0.001335529,0.2757958,0.00004755887,0.002776223,0.0000159443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985629,0.0001708102,0.00007890561,0.000020812,0.00000188865,0.000003590075,0.0003196358,0.000009986668,0.0008315188],"genre_scores_gemma":[0.9956898,0.000136862,0.0002236135,0.0000429766,0.000002022622,0.000004865024,0.0005591817,0.000004236027,0.003336428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06680641,"threshold_uncertainty_score":0.1328351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913531682420239,"score_gpt":0.2216039495388121,"score_spread":0.2124686327146098,"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."}}