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Record W2942758857 · doi:10.11575/prism/36427

Novel orbital seismic sources at a CO2 storage monitoring site, Newell County, Alberta

2019· dissertation· en· W2942758857 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePRISM (University of Calgary) · 2019
Typedissertation
Languageen
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceSeismologyGeology

Abstract

fetched live from OpenAlex

Time-lapse seismic surveys are often performed on large time scales and can suffer from repeatability problems arising from variations in source and receiver geometries. Novel orbital seismic sources have been developed and were permanently installed along with a permanent receiver array at a small carbon sequestration site in Newell County, Alberta. Baseline datasets encourage the use of these sources in conjunction with both geophone and fibre optic receivers by confirming the relationship between signal to noise ratio and source effort. Initial testing of the sources indicates promising transfer of the theoretical source signature through the subsurface to surface receivers. Due to the absence of a measurement of the true source signature, pre-processing workflows were developed incorporating pilot trace correlation and Gabor deconvolution. Resultant corridor stacks are comparable to baseline datasets. Testing of surface vibrator sources reveal severe issues with the current source deployment.

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 categoriesMeta-epidemiology (narrow)
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 score0.836
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.005
GPT teacher head0.166
Teacher spread0.161 · 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