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Record W2092010903 · doi:10.1029/2010eo380001

An Underwater Laboratory at the Fraser River Delta

2010· article· en· W2092010903 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEos · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsGeological Survey of CanadaNatural Resources Canada
FundersNatural Resources CanadaUniversity of Victoria
KeywordsBiological dispersalRiver deltaSubmarine pipelineEnvironmental scienceSedimentOceanographyDeltaWetlandSampling (signal processing)UnderwaterEcosystemHydrology (agriculture)GeologyEcologyGeomorphologyComputer science

Abstract

fetched live from OpenAlex

Deltas, home to more than 500 million people and the site of vital wetland ecosystems across the world, are of tremendous economic importance to many countries. The physical dynamics at river mouths determines how sediment particles and contaminants are dispersed offshore by mechanisms that include waves, currents, and gravity flows, but how and when particular mechanisms operate are often inferred rather than known. Thus, scientists' understanding of sediment and contaminant dispersal mechanisms is only rudimentary. The problems lie in the intermittent operation of the different mechanisms, which occur on tidal, seasonal, and interannual time scales, and the difficulty of making long time series measurements at high sampling rates in these challenging oceanographic environments.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.999

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)0.0220.002

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 head0.208
Teacher spread0.198 · 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