{"id":"W2157528304","doi":"10.1016/j.mineng.2014.01.018","title":"Current state of fine mineral tailings treatment: A critical review on theory and practice","year":2014,"lang":"en","type":"review","venue":"Minerals Engineering","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":433,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tailings; Mineral processing; Waste management; Environmental science; Mining industry; Silt; Mineral resource classification; Dewatering; Tonne; Ecological footprint; Mining engineering; Natural resource economics; Engineering; Geology; Sustainability; Metallurgy; Materials science; Geochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002036007,0.001079554,0.002516743,0.003978491,0.0004186717,0.001885922,0.001622689,0.00189043,0.003991308],"category_scores_gemma":[0.003008798,0.0005333463,0.001073012,0.004353484,0.001088448,0.002547173,0.001175917,0.001527521,0.0009745056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047418,"about_ca_system_score_gemma":0.003786859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244097,"about_ca_topic_score_gemma":0.005077505,"domain_scores_codex":[0.9991822,0.0001317163,0.0001605428,0.0001710088,0.0003030907,0.00005140773],"domain_scores_gemma":[0.9973177,0.001742,0.0003439525,0.00005767656,0.0004676784,0.00007088272],"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":[0.0001024912,0.0001093435,0.0003810168,0.08453432,0.0001666487,0.0001228076,0.000110095,0.0005858912,0.001738186,0.003899888,0.01472725,0.8935221],"study_design_scores_gemma":[0.0000317588,0.0002448819,0.001636182,0.0268614,0.0006704759,0.0007601314,0.0002909421,0.0002920059,0.001387036,0.004817118,0.9629416,0.00006643829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001024636,0.9990227,0.0001526064,0.0002485914,0.00008495656,0.000004925795,0.00001787671,0.000003119842,0.0003627647],"genre_scores_gemma":[0.0006809948,0.9986221,0.0002809524,0.000180413,0.00009943284,0.000004931405,0.00001820397,9.65088e-7,0.0001120994],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003991308,"threshold_uncertainty_score":0.01335227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589967016406215,"score_gpt":0.3291815632055478,"score_spread":0.3032818930414856,"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."}}