{"id":"W2318810081","doi":"10.14288/1.0050155","title":"Water and material balance at mine tailings impoundments : software program development and risk analysis","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tailings; Tailings dam; Water balance; Balance (ability); Mining engineering; Environmental science; Geology; Geotechnical engineering; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008300059,0.00004953753,0.0001940618,0.00005082738,0.0001755719,0.0001180599,0.00008981353,0.00005042135,0.00004847309],"category_scores_gemma":[0.00000435197,0.0001238764,0.00003610251,0.0001120396,0.00006554376,0.0001850871,0.00009202548,0.00004548112,0.000003485521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003893757,"about_ca_system_score_gemma":0.000004096854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003755198,"about_ca_topic_score_gemma":0.02482937,"domain_scores_codex":[0.9993966,0.00001024926,0.00009165332,0.0002048649,0.0001041024,0.000192539],"domain_scores_gemma":[0.9997646,0.000004576408,0.00003144635,0.00009307946,0.00003043407,0.000075878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001954148,0.00003866063,0.1714846,0.0001293032,0.0003573141,0.000038584,0.0006535703,0.00008003902,0.0008525747,5.691908e-8,0.0005811214,0.8257647],"study_design_scores_gemma":[0.0004881329,0.00005566014,0.9947872,0.00003259255,0.0002246824,0.000005035985,0.0001765188,0.001006281,0.00008659068,0.00002370571,0.002919554,0.0001940773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999149,0.0001842086,0.0001320089,0.00001555891,0.00004144377,0.0001641598,0.0000251914,0.0001703397,0.0001180414],"genre_scores_gemma":[0.9958711,0.0003284552,0.003054784,0.000008053196,0.000009972076,6.402051e-7,0.00005551716,0.000007221864,0.0006642659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8255706,"threshold_uncertainty_score":0.9929649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004311237517328544,"score_gpt":0.1484278094098602,"score_spread":0.1441165718925316,"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."}}