{"id":"W2807282088","doi":"10.1016/j.scitotenv.2018.05.374","title":"Microbial and geochemical controls on waste rock weathering and drainage quality","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; BGC Engineering (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weathering; Acid mine drainage; Drainage; Environmental chemistry; Sulfide; Gypsum; Sulfide minerals; Geology; Sulfate-reducing bacteria; Sorption; Geochemistry; Genetic algorithm; Environmental science; Chemistry; Bacteria; Ecology; Pyrite; Biology","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":[0.0004332245,0.0001918174,0.0002257319,0.0003252293,0.0002380099,0.0008413033,0.0002123477,0.0004777692,0.001499948],"category_scores_gemma":[0.0008773278,0.0001700565,0.0002418431,0.0003038018,0.0005118935,0.0003732393,0.0003687118,0.0002969854,0.0001835441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429384,"about_ca_system_score_gemma":0.000398126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00305037,"about_ca_topic_score_gemma":0.004374702,"domain_scores_codex":[0.9996423,0.00008490716,0.00002662149,0.00004867803,0.0000924456,0.0001051407],"domain_scores_gemma":[0.9994746,0.0001963003,0.0000949679,0.00003348605,0.0001171514,0.00008353199],"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":[0.001479946,0.0001563128,0.0198567,0.0000690007,0.00003829901,0.00008233782,0.0001292524,0.0005612596,0.9664258,0.0004327511,0.00008410389,0.01068429],"study_design_scores_gemma":[0.00005246146,0.001042646,0.230447,0.00001724171,0.00005394177,0.0002144548,0.0006840402,0.002434936,0.7621606,0.0006500941,0.002216846,0.00002573242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998562,0.0003454581,0.0002238137,0.00005263125,0.000005815465,0.000004858382,0.0001011889,0.000005714275,0.0006984934],"genre_scores_gemma":[0.9988911,0.0001799999,0.0001437742,0.00001713467,0.000004279849,0.00000316818,0.00006031018,0.000003637419,0.0006966456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00305037,"threshold_uncertainty_score":0.00606519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007859339743280673,"score_gpt":0.2238452062720891,"score_spread":0.2159858665288084,"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."}}