{"id":"W1976404925","doi":"10.1016/j.apgeochem.2011.06.007","title":"Spatial and temporal evolution of Cu–Zn mine tailings during dewatering","year":2011,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stantec (Canada); University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Tailings; Dewatering; Geology; Copper mine; Mining engineering; Tailings dam; Mineralogy; Environmental science; Copper; Metallurgy; Geotechnical engineering; Materials 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":[0.00008929568,0.0001307284,0.0001866647,0.0006582585,0.0002774791,0.000389098,0.0002136513,0.0003612367,0.001089772],"category_scores_gemma":[0.0003066758,0.0001444176,0.000181617,0.000500277,0.0001656333,0.0002732357,0.0002305746,0.0002148333,0.0002881987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637568,"about_ca_system_score_gemma":0.0001588589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076791,"about_ca_topic_score_gemma":0.04206352,"domain_scores_codex":[0.9999272,0.000004054712,0.00000344943,0.00002949249,0.00001280346,0.00002302981],"domain_scores_gemma":[0.9997256,0.00004368593,0.00007933567,0.00001113511,0.0000982971,0.00004179998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001748029,0.00008212183,0.7895299,0.00005137049,0.0000849706,0.0004416315,0.0008820379,0.0005667884,0.1913574,0.0001118253,0.0003605708,0.0147833],"study_design_scores_gemma":[0.000001548753,0.00003533265,0.9947077,0.000002403395,0.000009157302,0.00004452274,0.0002621595,0.0003203571,0.004184994,0.00001576331,0.0004124381,0.000003618936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987321,0.000060062,0.0001904297,0.00001283471,0.000003429867,0.000003722741,0.0003353163,0.000009333771,0.0006526739],"genre_scores_gemma":[0.9976478,0.00005718233,0.0001551232,0.000009214961,0.000003340746,0.0000052818,0.0004002978,0.000003620496,0.00171815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02076791,"threshold_uncertainty_score":0.04129404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654728630595956,"score_gpt":0.1817704185251533,"score_spread":0.1761156898945574,"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."}}