{"id":"W1973951731","doi":"10.1016/j.apgeochem.2013.02.025","title":"Numerical modeling of contaminated neutral drainage from a waste-rock field test cell","year":2013,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Sorption; Effluent; Leaching (pedology); Dissolution; Environmental chemistry; Drainage; Sulfide; Environmental science; Geology; Contamination; Pore water pressure; Environmental engineering; Chemistry; Geotechnical engineering; Soil science; Soil water; Materials science; Metallurgy; Ecology","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":[0.0002185928,0.0004117735,0.0007419576,0.0003784351,0.0008659686,0.001054117,0.001248077,0.001805756,0.002660332],"category_scores_gemma":[0.0009171112,0.0002941624,0.0003970652,0.0006770845,0.0009068366,0.0005546612,0.000571815,0.0005630916,0.0001771484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144653,"about_ca_system_score_gemma":0.001444893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0482031,"about_ca_topic_score_gemma":0.01799391,"domain_scores_codex":[0.9998717,0.00002893874,0.000007479594,0.00002503431,0.00003008834,0.00003676137],"domain_scores_gemma":[0.9994891,0.0002901452,0.00004772787,0.00002491721,0.0001024197,0.00004562402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000535976,0.00004907138,0.001351947,0.00001551002,0.000005005949,0.00009290336,0.00002303422,0.9951976,0.001437129,0.0007212938,0.0001319592,0.000920847],"study_design_scores_gemma":[0.00001434524,0.00002258235,0.0003315971,0.000002168287,0.000003001693,0.000008744699,0.00002589701,0.9986137,0.0007016956,0.0001765392,0.00009513601,0.000004606612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624304,0.0001951444,0.0191225,0.0004465203,0.00004345466,0.00006559231,0.0006987897,0.0001688343,0.01682866],"genre_scores_gemma":[0.9942515,0.0000840393,0.002068704,0.00004845122,0.000007018281,0.00003422915,0.0001531901,0.00001616388,0.003336844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0482031,"threshold_uncertainty_score":0.0958451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004073246872492028,"score_gpt":0.1841675148819914,"score_spread":0.1800942680094994,"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."}}