MétaCan
Menu
← Back to cohort
Record W2326953140 · doi:10.1061/40549(276)207

Bedform Migration on a Sheltered Sandy Beach in Southwestern Australia

2001· article· en· W2326953140 on OpenAlexfundno aff
Jeffrey S. Doucette

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSwellGeologySubmarine pipelineCrestSea breezeShoreSkewnessRippleWavelengthWave heightWind waveOceanography

Abstract

fetched live from OpenAlex

This paper relates nearshore ripple behaviour to cyclic changes in hydrodynamic conditions due to a sea breeze. Simultaneous time series measurements of waves, currents, and ripple crest positions were obtained from the nearshore of a micro-tidal low energy beach in southwestern Australia during two diurnal sea breeze cycles. Large parallel ripples with wavelengths of 0.3m–1.2m and heights of 0.05m–0.15m were present in coarse sand for the duration of observations. Mean ripple migration rates were calculated every half hour. During the sea breeze, wave height increased and wave period decreased with the addition of locally generated, short period wind waves on the incident swell waves. As a result, mean offshore flow (undertow) increased and cross-shore velocity skewness and asymmetry decreased. Ripples migrated onshore during the swell-dominated period and offshore during the sea breeze. It is proposed that the ripple migration direction is a function of the balance between onshore cross-shore velocity asymmetry and skewness and offshore mean flow.

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 score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.057
GPT teacher head0.292
Teacher spread0.236 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

Explore more

Same topicGeology and Paleoclimatology Research→French-language works237,207→