{"id":"W2032385728","doi":"10.1002/etc.63","title":"Selenium distribution in a lake system receiving effluent from a metal mining and milling operation in Northern Saskatchewan, Canada","year":2009,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Benthic zone; Trophic level; Effluent; Sediment; Environmental science; Environmental chemistry; Aquatic ecosystem; Biota; Invertebrate; Total organic carbon; Surface water; Abiotic component; Ecology; Chemistry; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000150053,0.0001633813,0.0002472943,0.000009951176,0.00008386802,0.00001505841,0.00006181498,0.0002398179,0.00002318354],"category_scores_gemma":[0.00001796623,0.0001606801,0.00001708845,0.00004160454,0.00005896868,0.00005139564,0.00003083028,0.0001888906,7.65174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006711226,"about_ca_system_score_gemma":0.00001857791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007663724,"about_ca_topic_score_gemma":0.4574409,"domain_scores_codex":[0.998886,0.0000906496,0.0003058883,0.0003717185,0.00009677485,0.0002489452],"domain_scores_gemma":[0.9996669,0.00009434811,0.00007778261,0.00009013298,0.000001730002,0.00006914206],"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":[0.00007347367,0.0000501851,0.3940127,0.00002030838,0.000006691002,0.00001340069,0.0003593143,0.00007543887,0.6040711,1.766918e-7,0.000009180878,0.001308065],"study_design_scores_gemma":[0.001211546,0.0001031186,0.7469435,0.0001351194,0.00002313337,0.00006710603,0.007856347,0.001271987,0.2417902,0.000008557688,0.000271711,0.0003177564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986881,0.0007282746,0.000007975153,0.0001601751,0.0001085163,0.0001518115,0.00008534988,0.00001702709,0.00005274731],"genre_scores_gemma":[0.9994532,0.000009974514,0.00006316906,0.00009717557,0.00007568119,0.00001766065,0.0002592998,0.00000668833,0.00001715087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497772,"threshold_uncertainty_score":0.9989443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004178230836215283,"score_gpt":0.181439842339897,"score_spread":0.1772616115036817,"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."}}