MétaCan
Menu
Back to cohort
Record W2767538683 · doi:10.1520/jte20160244

Development and Application of the New Explosive Loading Experimental System of Digital Laser Dynamic Caustics

2017· article· en· W2767538683 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

VenueJournal of Testing and Evaluation · 2017
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsHigh-speed photographyExplosive materialHigh-speed cameraLaserDigital cameraOpticsPhotographyFrame (networking)BoreholeSPARK (programming language)Computer scienceAcousticsMaterials scienceEngineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract The new explosive loading experimental system of digital laser dynamic caustics was developed by replacing the conventional multi-spark point source light and the previous multi-frame film camera with the solid-state laser and the digital high-speed camera, respectively; namely, a new caustics experimental system of high-speed photography system using a combination of solid-state laser and digital high-speed camera was created. This new experimental system was used to conduct the crack propagation test of single-borehole explosion with defective medium and the double-boreholes explosive loading experiment to obtain the clear digital caustics photos. If compared with the conventional optical photos, these digital photos were found to be clearer with more reliable results and longer recording time, which demonstrates that the new system can meet the requirements of ultra-dynamic fracture problems such as blasting. The new optical system is simple, user-friendly, which ensures a low experimental cost, short cycle, and the continuous observation throughout the fracture process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.126

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 head0.031
GPT teacher head0.279
Teacher spread0.247 · 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