{"id":"W4393689201","doi":"10.5281/zenodo.5644208","title":"Numerical simulation of groundwater flow in backfilled open-pits for BDZ deviation performance","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Groundwater flow; Flow (mathematics); Environmental science; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering; Mathematics; Aquifer; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004542456,0.0002109836,0.0003507776,0.0002249966,0.0002475345,0.0002834755,0.0009229338,0.0002142241,0.003075895],"category_scores_gemma":[0.0004796566,0.0002262606,0.00006723137,0.0005546376,0.00002397602,0.0002438325,0.0006692322,0.000388092,0.0005326556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577261,"about_ca_system_score_gemma":0.000003810424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001504997,"about_ca_topic_score_gemma":0.000001055596,"domain_scores_codex":[0.9985168,0.00007945014,0.0004719343,0.0003415792,0.0002567293,0.0003335363],"domain_scores_gemma":[0.9990478,0.00005844961,0.00007814474,0.0004180583,0.0003018286,0.0000957195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003184347,0.00007438944,4.933818e-8,0.0006182793,0.0000266119,0.000002352396,0.00002259637,0.603786,0.0001839218,0.0000131679,0.3681933,0.02704749],"study_design_scores_gemma":[0.0004080801,0.0001172138,0.00001239644,0.0001199482,0.00001233096,0.000005160759,0.000006180986,0.2876504,0.0001575631,0.00001828723,0.7113127,0.0001797629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008009294,0.0002305753,0.3613159,0.0001601262,0.0006136254,0.002586537,0.6315128,0.0009355866,0.001843876],"genre_scores_gemma":[0.04398044,0.0002009918,0.0007753337,0.00002912034,0.0001162617,6.742226e-7,0.9540413,0.0007944883,0.00006141441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3605406,"threshold_uncertainty_score":0.9978355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772301375122157,"score_gpt":0.2364376786187836,"score_spread":0.208714664867562,"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."}}