{"id":"W2064700617","doi":"10.1139/t06-058","title":"Design and evaluation of mixtures of mine waste rock and tailings","year":2006,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Compressibility; Geotechnical engineering; Rheology; Municipal solid waste; Waste material; Waste management; Geology; Environmental science; Engineering; Materials science; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007356225,0.0001083645,0.0001960984,0.0001939413,0.00003585492,0.00001505103,0.00009003689,0.0001691031,0.00001163332],"category_scores_gemma":[0.0001108916,0.0001062416,0.00003431268,0.0001294064,0.00002805824,0.00004725279,0.00001132928,0.0002797589,3.833714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006987662,"about_ca_system_score_gemma":0.00009362666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485053,"about_ca_topic_score_gemma":0.0003213499,"domain_scores_codex":[0.9991342,0.00003079694,0.0003120103,0.00008836246,0.0002240672,0.0002106033],"domain_scores_gemma":[0.9994358,0.00005341863,0.00004698456,0.0001067843,0.0001303583,0.0002265987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002855357,0.000004435422,0.000006588799,0.00003234433,0.00001283486,0.000004616737,0.00001109788,0.9800109,0.01512108,0.0001884936,0.0003041574,0.004300593],"study_design_scores_gemma":[0.0003355531,0.00006562709,0.000390455,0.00007610947,0.00005830157,0.0001407225,0.00001201335,0.9844332,0.01171163,0.002449604,0.0002088935,0.0001178874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837577,0.003773945,0.1118948,0.0001401968,0.000117797,0.0001789921,0.000005936864,0.0000504884,0.00008013027],"genre_scores_gemma":[0.9981822,0.0000961413,0.001635607,0.000006437571,0.00004971143,0.000003097518,0.000001376228,0.0000169028,0.000008502599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1144245,"threshold_uncertainty_score":0.4332409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082393468886578,"score_gpt":0.1972605802194852,"score_spread":0.1864366455306194,"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."}}