MétaCan
Menu
Back to cohort
Record W2596936720

Estimation of Carbon Buried Under Seagrass Cast

2016· article· en· W2596936720 on OpenAlexaboutno aff
Royann J. Petrell

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2016
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSeagrassEnvironmental scienceCarbon fibersGeologyEstimationRemote sensingGeographyPhysical geographyComputer scienceEcosystemEconomicsEcology
DOInot available

Abstract

fetched live from OpenAlex

Seagrass has amassed on beaches during strong storms around the world. In the K’omoks estuary (49o 40 min North, 124o 57 min West) off east Vancouver Island, B.C., sloughed detrital material persists along an approximately 500 m long wrack line in the form of a large windrow probably because the hot and dry summers slow bacterial breakdown, its deposited above the high tide line on a gentle mostly vegetated slope and large storms that are capable of dislodging it are infrequent. Under this sloughed detritus for approximately 0.3 m alternating layers of silt/sand and dark material are evident. DNA evidence indicated the presence of eelgrass (Zostera marina) in the cores and fronting wetland. Organic matter and carbon were measured and used to estimate the amount buried in the area. Future work will focus on using feldspar to examine burial rate and measuring the timing and amounts of new additions of detrital eelgrass.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.884

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 head0.191
Teacher spread0.181 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueWestern CEDAR (Western Washington University)Same topicMarine and Offshore Engineering StudiesFrench-language works237,207