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Record W3209365495 · doi:10.36487/acg_repo/2063_03

Early experiences from the Grasberg block cave: A rock mechanics perspective

2020· article· en· W3209365495 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsCaveRock mass classificationMining engineeringGeologyRock mechanicsPillarBlock (permutation group theory)EngineeringGeotechnical engineeringArchaeologyGeographyMathematicsMechanical engineering

Abstract

fetched live from OpenAlex

As the Grasberg open pit is completed in 2019, the underlying Grasberg Block Cave (GBC) will rapidly mature as a primary source of production at PT Freeport Indonesia operations, supplementing the Deep Ore Zone (DOZ) and Deep Mill Level Zone (DMLZ) caves. After years of planning, development and revisions to the extraction strategy, early information on footprint rock mass response to undercutting and the nature of caving is now available to confirm or guide adjustments to strategy. Despite the early stage of mining, much has been learned regarding cave propagation, fragmentation, stress states, pillar stability and ground support performance. This paper provides a timely rock mechanics focused update from one of the largest planned caving mines in the world.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.186
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it