{"id":"W2027472088","doi":"10.1134/s0016702908090048","title":"The accumulation of Cu, Zn, Cd, and Pb in the aquatic biomass of sulphide tailing ponds","year":2008,"lang":"en","type":"article","venue":"Geochemistry International","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Tailings; Environmental science; Biomass (ecology); Aquatic ecosystem; Environmental chemistry; Ecosystem; Trophic level; Aquatic plant; Chemistry; Ecology; Macrophyte; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528258,0.00004540586,0.00004801255,0.00001656235,0.00004609501,0.0000060394,0.0002098823,0.00003113074,0.0001329934],"category_scores_gemma":[0.0001596159,0.00002909329,0.00002255444,0.00008537819,0.0001643916,0.00006047079,0.00005783112,0.00005027967,0.000002304547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002296615,"about_ca_system_score_gemma":0.000007283843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647515,"about_ca_topic_score_gemma":0.00003742357,"domain_scores_codex":[0.9993981,0.00001614974,0.0001901789,0.00008257055,0.0002522706,0.00006078243],"domain_scores_gemma":[0.9996307,0.0001260502,0.0001137377,0.0001059899,0.00001312428,0.00001034875],"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":[0.00001348725,0.00004725839,0.05850702,0.00001126374,0.000008756288,0.000003380464,0.001141339,0.0000482352,0.9376759,0.0001326664,0.0009934697,0.001417204],"study_design_scores_gemma":[0.0002987816,0.0000200859,0.07703611,0.00002460702,0.000005532828,0.00003356911,0.0005454898,0.008546032,0.9084014,0.003432951,0.001565408,0.00009008872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928387,0.00003810152,0.0003018286,0.0006882616,0.00002341348,0.00005603738,0.000004665311,0.000005002708,0.006043941],"genre_scores_gemma":[0.999389,0.00005921076,0.000250402,0.00002845437,0.00002479409,0.000006987657,0.00001842746,0.000001950487,0.0002207756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02927457,"threshold_uncertainty_score":0.1456184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253237774316262,"score_gpt":0.2827743197989133,"score_spread":0.2602419420557507,"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."}}