{"id":"W4402545581","doi":"10.36487/acg_repo/2465_10","title":"Lessons learnt from a pillarburst at a development heading in one of Vale’s deep mines: a case study","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heading (navigation); Geology; Deep water; Mining engineering; Computer science; Engineering; Artificial intelligence; Geodesy; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001603686,0.0001697004,0.0002807466,0.0001602109,0.0000228437,0.00002095267,0.00009766338,0.0000797906,0.0001918897],"category_scores_gemma":[0.00002813111,0.0001564203,0.00005163955,0.000400491,0.000008461479,0.00005245455,0.0001163478,0.0001830451,0.00003983752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015583,"about_ca_system_score_gemma":0.00001371911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006280598,"about_ca_topic_score_gemma":0.005311543,"domain_scores_codex":[0.9989325,0.00001098419,0.0003904626,0.0002422776,0.0001611529,0.0002625808],"domain_scores_gemma":[0.9995855,0.0001277377,0.000008892967,0.000174109,0.00001282781,0.00009093252],"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":[0.00002258226,0.0006914921,0.0006648749,0.000978405,0.0005474069,0.007710868,0.009329821,0.8195238,0.04529143,0.000418443,0.0001419126,0.1146789],"study_design_scores_gemma":[0.001431496,0.0002549012,0.0009400566,0.0009764282,0.0001094739,0.0004046841,0.004888793,0.9560128,0.02102672,0.0003034614,0.01251069,0.001140469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244186,0.001013098,0.07336522,0.00007547779,0.0001440879,0.0002403042,0.000003572397,0.00045855,0.0002811227],"genre_scores_gemma":[0.996008,0.00001722207,0.003706145,0.000007034169,0.00002453642,0.00004944878,0.0000032873,0.00003332342,0.0001509484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.136489,"threshold_uncertainty_score":0.6378636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087950876336868,"score_gpt":0.2397367711857181,"score_spread":0.2088572624223494,"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."}}