{"id":"W2118103790","doi":"10.1111/j.1472-4669.2005.00047.x","title":"Microbially driven acidity generation in a tailings lake","year":2005,"lang":"en","type":"article","venue":"Geobiology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Pyrrhotite; Environmental chemistry; Sediment; Geology; Ferric; Microbial population biology; Sulfate; Abiotic component; Ferrihydrite; Mineralogy; Chemistry; Pyrite; Inorganic chemistry; Bacteria; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001039078,0.0001842437,0.0001958154,0.0002321486,0.0005141628,0.000404479,0.0002015932,0.0003706822,0.00039801],"category_scores_gemma":[0.0001197046,0.0001645117,0.0001589795,0.0002079118,0.0002380925,0.0002465371,0.0003550806,0.0001372419,0.00005058728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286402,"about_ca_system_score_gemma":0.0007411859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09044502,"about_ca_topic_score_gemma":0.09044963,"domain_scores_codex":[0.9999408,0.000003571971,0.0000027796,0.00001870398,0.00001752484,0.00001674278],"domain_scores_gemma":[0.9999352,0.000006604185,0.00001412667,0.000002518095,0.00002335161,0.00001819038],"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":[0.0005359817,0.00008356297,0.1943877,0.00008212338,0.00003971476,0.0004420447,0.0006029648,0.007157571,0.7903259,0.0001188762,0.0001838165,0.006039636],"study_design_scores_gemma":[0.00008330004,0.0006508074,0.7837729,0.00001256018,0.00005682216,0.0001667792,0.001181592,0.08847856,0.1239055,0.0001675821,0.001479687,0.0000439148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997705,0.000007650296,0.00006715155,0.000006430097,3.326596e-7,0.000002762353,0.0000364853,0.000007100552,0.0001016019],"genre_scores_gemma":[0.9995365,0.00001086535,0.0001936187,0.0000055525,4.642397e-7,0.000003422663,0.00005648538,0.000001003372,0.0001921332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09044502,"threshold_uncertainty_score":0.1798371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009802837035007514,"score_gpt":0.2258676252393196,"score_spread":0.2160647882043121,"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."}}