{"id":"W2022216942","doi":"10.1016/j.jconhyd.2005.06.005","title":"Numerical simulations of pyrite oxidation and acid mine drainage in unsaturated waste rock piles","year":2005,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":172,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council; Université du Québec en Abitibi-Témiscamingue; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pyrite; Acid mine drainage; Drainage; Moisture; Dissolution; Water content; Geotechnical engineering; Pile; Geology; Capillary action; Vadose zone; Flow (mathematics); Environmental science; Mineralogy; Groundwater; Metallurgy; Materials science; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927422,0.00008370096,0.0002414677,0.0001438424,0.0000284073,0.000005322551,0.0001007143,0.0000878619,0.0002049426],"category_scores_gemma":[0.0001054477,0.0000661091,0.0000373481,0.0001736669,0.00006789717,0.0002565465,0.00003563863,0.0001433859,0.000004976506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005017803,"about_ca_system_score_gemma":0.00001070877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003554618,"about_ca_topic_score_gemma":0.0001424128,"domain_scores_codex":[0.9990362,0.00009172301,0.0004978997,0.00009810285,0.0001439215,0.0001321544],"domain_scores_gemma":[0.9993703,0.00009108573,0.0003844362,0.00007674481,0.00002699671,0.00005040261],"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":[0.0001583535,0.0002305653,0.02497724,0.00001332321,0.00001881975,0.00004884219,0.001239444,0.01673113,0.9453835,0.0001646868,0.0003288606,0.01070525],"study_design_scores_gemma":[0.00414148,0.002302731,0.1840006,0.0001062258,0.00009729742,0.0004675217,0.0003156902,0.2647772,0.5287909,0.001897508,0.01265199,0.0004508612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941338,0.0001514266,0.004094203,0.001063682,0.00003589682,0.00009108526,0.000001459293,0.000005252558,0.000423189],"genre_scores_gemma":[0.9987441,0.0000662275,0.0009290284,0.00009855899,0.00005898216,0.000001124723,0.000003507308,0.000005459601,0.00009304438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165926,"threshold_uncertainty_score":0.269585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005668205840806557,"score_gpt":0.2321333438955866,"score_spread":0.2264651380547801,"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."}}