MétaCan
Menu
← Back to cohort
Record W2607563507

A multicomponent seismic survey at Calgary International Airport, Alberta

2001· article· en· W2607563507 on OpenAlexaboutno aff
Don C. Lawton, Robert R. Stewart, Malcolm B. Bertram, Henry C. Bland

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSeismic vibratorGeophoneSeismic surveySeismologyGeologyBandwidth (computing)AcousticsLine (geometry)EngineeringTelecommunicationsPhysicsMathematicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

A 2.4 km multicomponent seismic line was acquired near Calgary International airport to evaluate Vibroseis ® source and receiver parameters for recording P-S data. A series of source tests was undertaken using one and two vibrators, several different sweep lengths and frequency bandwidths. Linear as well as and non-linear sweeps were also evaluated. Reviews of the source tests indicated that 2 vibrators were required to obtain visible reflections from basement rocks (1.8 s P-P time). Optimum source characteristics for P-S data were found to be a non-linear sweep (-3 dB/octave) from 6 Hz to 100 Hz over 12 seconds. Vibrator separation was also tested in a ‘walkaway’ experiment to evaluate this source parameter on data quality. Conventional 3-C geophones as well as new ‘3-C nails’ were also tested. One test line processed to date indicates P-P reflections with bandwidth over the full spectrum of the source sweep and P-S reflections with bandwidth from 6 Hz to approximately 60 Hz.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.227
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same topicSeismic Imaging and Inversion Techniques→French-language works237,207→