{"id":"W2891473310","doi":"10.1016/j.chemosphere.2018.09.106","title":"A review of the implications and challenges of manganese removal from mine drainage","year":2018,"lang":"en","type":"review","venue":"Chemosphere","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":181,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Drainage; Acid mine drainage; Environmental science; Effluent; Manganese; Heavy metals; Mining engineering; Environmental engineering; Environmental chemistry; Engineering; Chemistry; 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":[0.0005502058,0.0006220056,0.001099104,0.002313905,0.0002583289,0.0009724401,0.0006124597,0.0008650292,0.002048537],"category_scores_gemma":[0.0008585635,0.0002532061,0.0004887196,0.002572226,0.0002903731,0.001107732,0.0005638322,0.000848476,0.0005494333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779457,"about_ca_system_score_gemma":0.001535525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941275,"about_ca_topic_score_gemma":0.004788195,"domain_scores_codex":[0.999772,0.00003275705,0.00004322879,0.00004159116,0.0000918279,0.0000186225],"domain_scores_gemma":[0.9995902,0.0001822525,0.00008193066,0.000009362259,0.000114743,0.00002148922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006623273,0.00007029913,0.0003774569,0.05526586,0.0001400486,0.0002070352,0.00009952454,0.0005550176,0.004306422,0.003512901,0.02533093,0.9100683],"study_design_scores_gemma":[0.000007534935,0.00009738278,0.001214922,0.006324117,0.0001722542,0.0006675175,0.000106285,0.0001161128,0.001145053,0.001448048,0.9886769,0.00002385762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002228221,0.9986143,0.0001158311,0.0002479453,0.0001428163,0.000003211822,0.00002951076,0.000003364016,0.0006202274],"genre_scores_gemma":[0.0008147961,0.9984624,0.0001480341,0.000101568,0.00008729989,0.000002437229,0.00002132999,7.048473e-7,0.0003615193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002313905,"threshold_uncertainty_score":0.006853104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844181190225188,"score_gpt":0.2910117172882032,"score_spread":0.2525699053859514,"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."}}