{"id":"W3045238396","doi":"10.1007/s10230-020-00702-w","title":"Performance of a Semi-passive Sulfate-reducing Bioreactor for Acid Mine Drainage Treatment and Prediction of Environmental Behavior of Post-treatment Residues","year":2020,"lang":"en","type":"article","venue":"Mine Water and the Environment","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agnico Eagle (Canada); Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acid mine drainage; Chemistry; Sulfate; Environmental chemistry; Metal; Biofilter; Bioreactor; Oxidizing agent; Toxicity characteristic leaching procedure; Weathering; Nuclear chemistry; Heavy metals; Environmental engineering; Geology; Environmental 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":[0.0004253646,0.0003738156,0.0004987101,0.0001385387,0.0002585321,0.0003681719,0.0003852401,0.0004358243,0.0003778442],"category_scores_gemma":[0.0003405751,0.0001647023,0.0003327806,0.0001277403,0.0001670776,0.0002330521,0.0002093816,0.0003616349,0.000229986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663255,"about_ca_system_score_gemma":0.0006397564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244255,"about_ca_topic_score_gemma":0.0024054,"domain_scores_codex":[0.9998266,0.00002560773,0.0000161347,0.00004534948,0.00006402587,0.00002241501],"domain_scores_gemma":[0.9997819,0.00007738767,0.00002549508,0.00001922994,0.00005308135,0.00004298015],"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":[0.000252304,0.0001002642,0.0005080985,0.00002002547,0.000005018601,0.000009896174,0.00001233781,0.0003329402,0.99691,0.00001512583,0.00001696581,0.001817065],"study_design_scores_gemma":[0.0000177995,0.0006799041,0.002616962,0.000002513422,0.00001677343,0.00003570384,0.00001806648,0.007129039,0.9892704,0.0000143797,0.0001912669,0.000007170543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963557,0.00007845673,0.003191023,0.00004147605,0.00001547627,0.00001183664,0.0000900613,0.00006319796,0.0001530178],"genre_scores_gemma":[0.9949206,0.0001255645,0.004017615,0.0000204463,0.000006462063,0.00001378559,0.0001611214,0.000009988862,0.0007244774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003244255,"threshold_uncertainty_score":0.006450713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810218579279205,"score_gpt":0.191783878180536,"score_spread":0.1836816923877439,"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."}}