{"id":"W2758643383","doi":"10.36487/acg_rep/1504_42_kam","title":"Managing high-density tailings disposal – deposition, water management and closure considerations","year":2015,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glencore (Canada); Golder Associates (Canada)","funders":"","keywords":"Tailings; Deposition (geology); Environmental science; Mining engineering; Geology; Materials science; Metallurgy; Sediment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002157793,0.0004880062,0.0004660764,0.000748291,0.001027392,0.001945007,0.001470961,0.00108751,0.001672625],"category_scores_gemma":[0.001736063,0.0003209423,0.0003679124,0.0005522101,0.0006069191,0.002121485,0.001137763,0.0006090535,0.0006120268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007360872,"about_ca_system_score_gemma":0.001180034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365705,"about_ca_topic_score_gemma":0.007637529,"domain_scores_codex":[0.9985494,0.0002537309,0.0001409529,0.0001657932,0.0006468677,0.0002432602],"domain_scores_gemma":[0.9984636,0.0003590373,0.0003540147,0.0001636625,0.0004928241,0.0001668844],"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":[0.0004127855,0.0009241386,0.05564046,0.002104316,0.0001224724,0.003403939,0.001126592,0.1052951,0.3535701,0.005495371,0.006301709,0.4656029],"study_design_scores_gemma":[0.0001297918,0.003944762,0.1211325,0.0008751592,0.0002627925,0.006525036,0.0115665,0.2765298,0.4730331,0.01462631,0.0910943,0.000279984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366215,0.003301083,0.2385962,0.002196925,0.0001554013,0.0007691382,0.0002291152,0.0007352433,0.01739537],"genre_scores_gemma":[0.9386837,0.001792316,0.0540953,0.0001514592,0.00005288203,0.0001098752,0.0001583467,0.00005573728,0.004900278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003365705,"threshold_uncertainty_score":0.01141161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168848324976429,"score_gpt":0.1835350175686396,"score_spread":0.1718465343188753,"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."}}