{"id":"W4362576362","doi":"10.1139/cgj-2022-0196","title":"Improvement of tailings impoundment seismic and post-seismic stability using densification and waste rock inclusions","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Tailings Management and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Liquefaction; Geology; Geotechnical engineering; Tailings dam; Seismic loading; Mining engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004207941,0.000126998,0.0001605692,0.0002862576,0.00023853,0.00006696549,0.0001167253,0.00008760612,0.00001864162],"category_scores_gemma":[0.0000592048,0.000120952,0.0000387421,0.0001999574,0.00005157178,0.0001361979,0.000103913,0.0002726063,0.000003133065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452997,"about_ca_system_score_gemma":0.0001078237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006232415,"about_ca_topic_score_gemma":0.001437472,"domain_scores_codex":[0.9990398,0.0000166146,0.0003360701,0.0001467826,0.0001439917,0.0003167225],"domain_scores_gemma":[0.9993666,0.00002843291,0.00006057047,0.0001479338,0.000080875,0.000315559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003852061,0.00002330269,0.002359728,0.0004532207,0.0001542228,0.00005662701,0.00154223,0.340537,0.6052415,0.0001124587,0.0009458312,0.0485354],"study_design_scores_gemma":[0.0002965472,0.0001063657,0.003129426,0.00008388536,0.00005362663,0.0000554099,0.001190211,0.9859546,0.005878565,0.0007246229,0.002302307,0.0002243839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995647,0.0004373081,0.002552193,0.0009365047,0.0001307608,0.0001927544,0.00001438199,0.00007071997,0.00001833738],"genre_scores_gemma":[0.9992886,0.0003733004,0.0001256007,0.00009835188,0.00005153494,0.00000374603,0.000005371001,0.00002026099,0.00003320034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6454177,"threshold_uncertainty_score":0.9421588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676641919322047,"score_gpt":0.2087942201959773,"score_spread":0.1920278010027568,"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."}}