{"id":"W2557638276","doi":"10.1007/s10706-016-0131-6","title":"Laboratory Characterization of Cemented Tailings Paste Containing Crushed Waste Rocks for Improved Compressive Strength Development","year":2016,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Tailings Management and Properties","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Compressive strength; Crushed stone; Aggregate (composite); Materials science; Geotechnical engineering; Metallurgy; Waste management; Geology; Composite material; Engineering","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":[0.0002513006,0.0002966848,0.0002462216,0.0002078821,0.0002123062,0.0002752822,0.0002955243,0.000378425,0.001105469],"category_scores_gemma":[0.0003787029,0.0001441389,0.0002903792,0.000196466,0.0002606604,0.0002522088,0.0001670505,0.0003788729,0.0002354108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083144,"about_ca_system_score_gemma":0.0003698771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011374,"about_ca_topic_score_gemma":0.002525003,"domain_scores_codex":[0.9997823,0.00002557228,0.00001904652,0.00004440781,0.0001027585,0.00002595849],"domain_scores_gemma":[0.9996775,0.00007183102,0.00007267974,0.00003694777,0.0001114042,0.00002962755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003355786,0.00003904403,0.0001755712,0.00001622263,0.000002119579,0.00001633637,0.0000111219,0.00009836114,0.9990765,0.00001092458,0.000007970965,0.0005122644],"study_design_scores_gemma":[0.000004591667,0.0002379814,0.001287931,0.000001652094,0.000007103417,0.00002031989,0.0000206013,0.0004685847,0.9977996,0.000006423477,0.0001424856,0.000002584999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967312,0.0001065916,0.002531534,0.00001734494,0.000007855516,0.00002772731,0.0001429353,0.00002738008,0.0004074401],"genre_scores_gemma":[0.9960424,0.0001095009,0.002633082,0.00001395025,0.000004095281,0.0000242891,0.0001804544,0.00001269377,0.0009797591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011374,"threshold_uncertainty_score":0.003698111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008255914305438969,"score_gpt":0.1763924661526807,"score_spread":0.1681365518472417,"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."}}