{"id":"W4416406853","doi":"10.1016/j.deepre.2025.100232","title":"Numerical and experimental studies of the natural mixing behavior between an uncemented paste backfill and dumped waste rock in stopes from laboratory toward field conditions. Part I: Calibration and validation of a numerical model","year":2025,"lang":"en","type":"article","venue":"Deep Resources Engineering","topic":"Tailings Management and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada); Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Natural (archaeology); Mixing (physics); Field (mathematics); Waste disposal","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":[0.0007858037,0.0003951952,0.0004060169,0.0005068533,0.0003533663,0.0004380289,0.0006303879,0.0006899185,0.0008460496],"category_scores_gemma":[0.00131166,0.000193911,0.0003568949,0.0004524155,0.0006354001,0.0003741434,0.000409928,0.0004985558,0.000160967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276899,"about_ca_system_score_gemma":0.0003026478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765939,"about_ca_topic_score_gemma":0.002077466,"domain_scores_codex":[0.9996876,0.00003707737,0.00003888117,0.0000728949,0.0001291063,0.0000345815],"domain_scores_gemma":[0.9990073,0.0005105566,0.0001534189,0.0001172909,0.000159284,0.00005230388],"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":[0.0006697934,0.0008048993,0.01996503,0.00051049,0.00003160216,0.0004407477,0.0004684479,0.4105716,0.5411118,0.001327849,0.0002567769,0.02384095],"study_design_scores_gemma":[0.00004950561,0.001376371,0.01032036,0.00003034531,0.00002362809,0.0001160395,0.0003053456,0.7567727,0.2297094,0.0003785422,0.0008698856,0.00004789269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894496,0.0001401899,0.008798028,0.00003798498,0.00001533948,0.00005184776,0.000219547,0.00006494619,0.001222528],"genre_scores_gemma":[0.9885697,0.0001166487,0.01068545,0.000007146137,0.000002470466,0.00006034883,0.0001367759,0.000006031888,0.0004154651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001765939,"threshold_uncertainty_score":0.004155755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570847647242284,"score_gpt":0.2402335220957972,"score_spread":0.2245250456233743,"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."}}