{"id":"W2036280346","doi":"10.1179/1938636212z.0000000005","title":"Assessment of slurry consolidation using index properties","year":2013,"lang":"en","type":"article","venue":"International Journal of Geotechnical Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Cameco (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consolidation (business); Hydraulic conductivity; Tailings; Atterberg limits; Dewatering; Geotechnical engineering; Compressibility; Void ratio; Slurry; Materials science; Soil water; Geology; Water content; Soil science; Composite material; Metallurgy; Thermodynamics; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166238,0.0001003207,0.0001731561,0.0002236586,0.000009762442,0.00003667155,0.0002430816,0.00008584277,0.0000536414],"category_scores_gemma":[0.0000724731,0.00008618565,0.00008220583,0.0001007115,0.00002077533,0.0003332994,0.00003026927,0.0003036535,0.000002141174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115765,"about_ca_system_score_gemma":0.00003568789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680143,"about_ca_topic_score_gemma":1.901778e-7,"domain_scores_codex":[0.9990135,0.000006789022,0.0004724785,0.00005243287,0.0003434397,0.0001113263],"domain_scores_gemma":[0.9993635,0.00003608575,0.0001029837,0.00007111871,0.0003710217,0.00005526805],"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":[0.000003237761,0.00001633859,0.0002319337,0.00001894186,0.0001074233,0.000006381116,0.0000155521,0.8682757,0.1292277,0.0001527024,0.00004881226,0.001895259],"study_design_scores_gemma":[0.0002638399,0.00002585836,0.009507827,0.0001992232,0.00001206368,0.000110916,0.00001934291,0.9770364,0.01227554,0.00004959741,0.0004003473,0.00009904479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8847384,0.0002040492,0.1137869,0.0000651525,0.0008920644,0.00006217984,0.00000194875,0.00006345567,0.0001858433],"genre_scores_gemma":[0.9957048,0.00004387367,0.004026797,0.00001164888,0.0001846531,0.000002856441,0.000001112376,0.00001791255,0.000006398725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169522,"threshold_uncertainty_score":0.3514549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332528214856433,"score_gpt":0.2399432414465044,"score_spread":0.2266179592979401,"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."}}