{"id":"W2017608644","doi":"10.1016/j.apgeochem.2006.07.019","title":"The cycling of Ni, Zn, Cu in the system “mine tailings–ground water–plants”: A case study","year":2006,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Tailings; Cycling; Groundwater; Copper mine; Environmental science; Geology; Mining engineering; Copper; Environmental chemistry; Metallurgy; Chemistry; Geography; Archaeology; Geotechnical engineering; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491592,0.0003494976,0.0004690697,0.0005755153,0.001257508,0.0006877296,0.001026664,0.001854445,0.001256467],"category_scores_gemma":[0.0006821443,0.0002592917,0.0004805642,0.0008656448,0.0007490705,0.000639721,0.0004256463,0.0004354122,0.0001918761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227708,"about_ca_system_score_gemma":0.0007241847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04763958,"about_ca_topic_score_gemma":0.05946551,"domain_scores_codex":[0.9997019,0.00008201784,0.00001522087,0.00006948513,0.00007219133,0.0000591078],"domain_scores_gemma":[0.9995891,0.0002133425,0.00004614461,0.00003648338,0.00007952321,0.00003546709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005484237,0.003062697,0.3373713,0.001030724,0.0004442121,0.04508346,0.006920199,0.2537749,0.2534113,0.005322921,0.003831579,0.08426252],"study_design_scores_gemma":[0.0007513501,0.006589302,0.1310167,0.00006186066,0.0006407248,0.00877634,0.01156115,0.4504732,0.3689763,0.004891966,0.01605387,0.000207203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986048,0.00002545227,0.0004187013,0.00004297829,0.00000197339,0.00001871636,0.00008925128,0.0000139708,0.0007840878],"genre_scores_gemma":[0.9981279,0.00004577923,0.0008592632,0.000008602966,0.000001967481,0.000006234848,0.0000484504,0.00000338681,0.0008983068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04763958,"threshold_uncertainty_score":0.0947246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005410603903770103,"score_gpt":0.2117198690014484,"score_spread":0.2063092650976783,"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."}}