{"id":"W2798057254","doi":"10.1021/acs.est.7b06554","title":"Chronic Toxicity of Binary Mixtures of Six Metals (Ag, Cd, Cu, Ni, Pb, and Zn) to the Great Pond Snail <i>Lymnaea stagnalis</i>","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Biological Infrastructure; Natural Sciences and Engineering Research Council of Canada; Rio Tinto; International Zinc Association; Canada Research Chairs; International Copper Association; Government of Canada; Copper Development Association; Nickel Producers Environmental Research Association","keywords":"Lymnaea stagnalis; Lymnaea; Toxicity; Environmental chemistry; Metal; Chronic toxicity; Metal toxicity; Chemistry; Snail; Biotic Ligand Model; Cadmium; Copper; Toxicology; Heavy metals; Ecotoxicology; Biology; Ecology","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":[0.0002356471,0.000451875,0.0002633252,0.0002816147,0.0001589431,0.0003568601,0.0002212454,0.0003954312,0.0004316861],"category_scores_gemma":[0.0003598253,0.0002186382,0.0002912676,0.0001487938,0.0003073162,0.0002079814,0.0005070229,0.0002407418,0.000101756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108615,"about_ca_system_score_gemma":0.0002166969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807526,"about_ca_topic_score_gemma":0.00306642,"domain_scores_codex":[0.9997596,0.00006199932,0.00003235431,0.00005733574,0.00006009639,0.00002867031],"domain_scores_gemma":[0.9996508,0.00008200559,0.0001535468,0.00002566174,0.00004068986,0.00004738761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00157915,0.0001912278,0.0376115,0.0002749191,0.0001452083,0.0001358529,0.0001179397,0.002752749,0.9502836,0.00007461549,0.00008716857,0.006745997],"study_design_scores_gemma":[0.0001894823,0.0304575,0.1854077,0.00004531167,0.0004262709,0.0006117023,0.0003140473,0.02071698,0.7593925,0.0004865609,0.001886285,0.00006562323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992279,0.0001311755,0.000348257,0.00001271602,0.000002776252,0.00001032907,0.00004638216,0.00001181929,0.0002087304],"genre_scores_gemma":[0.9986227,0.0001395305,0.0008214507,0.00001858493,0.000002992762,0.00001112029,0.00006792273,0.000002422046,0.0003133168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807526,"threshold_uncertainty_score":0.003593981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006603404808031766,"score_gpt":0.2242378599361459,"score_spread":0.2176344551281141,"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."}}