{"id":"W2085086558","doi":"10.1021/es901524z","title":"Managing Pore-Water Quality in Mine Tailings by Inducing Microbial Sulfate Reduction","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Sulfate; Environmental chemistry; Sulfide; Chemistry; Total organic carbon; Gypsum; Carbonate; Sulfide minerals; Dissolved organic carbon; Sulfur; Water quality; Pore water pressure; Carbon fibers; Geology; Ecology; Materials science","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":[0.0002555287,0.0003484575,0.0002606947,0.0001374878,0.0002162552,0.0003514123,0.0002903933,0.0003310904,0.0003575963],"category_scores_gemma":[0.0003134392,0.0001170511,0.0002122489,0.0001143798,0.0002109281,0.0002317892,0.0002983829,0.0002801068,0.00007030219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121956,"about_ca_system_score_gemma":0.0003004347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188652,"about_ca_topic_score_gemma":0.004840916,"domain_scores_codex":[0.9998541,0.00003382854,0.00001269723,0.00003430383,0.0000333959,0.00003168658],"domain_scores_gemma":[0.9998031,0.00004809594,0.00006221086,0.00001850091,0.00003212668,0.0000359012],"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":[0.0001006093,0.00005082068,0.001205183,0.00003195298,0.000003433487,0.00002163297,0.00001776089,0.0001317866,0.9971545,0.000007542404,0.000008424806,0.001266411],"study_design_scores_gemma":[0.00002715846,0.002393969,0.009474264,0.000005258625,0.00001907137,0.00005554361,0.00006709167,0.001090678,0.986452,0.00002468311,0.0003848535,0.000005461403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993781,0.00004320966,0.0004312231,0.00001152173,0.00000195567,0.00001895452,0.00002816644,0.00001338443,0.00007356318],"genre_scores_gemma":[0.9971159,0.0001049926,0.00218086,0.00002123346,0.000003540645,0.00002838193,0.00009722597,0.000003459702,0.0004444875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188652,"threshold_uncertainty_score":0.004351795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168005809604699,"score_gpt":0.2289826460583624,"score_spread":0.2238146402487577,"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."}}