{"id":"W4416768091","doi":"10.18280/mmep.121025","title":"Optimizing Blasting in Narrow Veins: Using DECKs to Reduce Dilution and Improve Recovery in Underground Mining","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rock blasting; Underground mining (soft rock); Dilution; Coal mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000937714,0.0005303868,0.0006808066,0.0009006658,0.0001295928,0.000407025,0.0001592911,0.0002414295,0.000004271759],"category_scores_gemma":[0.00019617,0.0005958344,0.00005980765,0.0007280729,0.00004273036,0.0004554102,0.0002290449,0.0005479383,0.000002821188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027053,"about_ca_system_score_gemma":0.00003137759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068262,"about_ca_topic_score_gemma":0.00001567666,"domain_scores_codex":[0.9972835,0.00003370078,0.001017678,0.0006445191,0.0001882359,0.0008324248],"domain_scores_gemma":[0.9992209,0.0002848132,0.0000728084,0.000239094,0.00003267682,0.0001497186],"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":[0.00003389873,0.00005851836,0.00004021717,0.00556603,0.0000523427,0.000007713031,0.004954424,0.9791477,0.005606722,0.001472628,0.000002797871,0.003057044],"study_design_scores_gemma":[0.0005989702,0.00007136026,0.00001279792,0.009439524,0.00006455867,0.000005571027,0.0006733855,0.9839703,0.0004614565,0.00406813,0.00005693585,0.0005770473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4945359,0.003653033,0.5004842,0.00009355164,0.000275537,0.0004435529,0.000001146921,0.0001047366,0.000408372],"genre_scores_gemma":[0.8876676,0.0003708827,0.1115545,0.0000185778,0.00005322764,0.00005777026,0.000001412904,0.00007846369,0.0001975435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3931317,"threshold_uncertainty_score":0.9996493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874874916773995,"score_gpt":0.2232377522989983,"score_spread":0.1944890031312584,"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."}}