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Record W2059170681 · doi:10.3137/ao.430103

Modelling the sea level of the upper Bay of Fundy

2005· article· en· W2059170681 on OpenAlexafffundvenue
Frédéric Dupont, Charles G. Hannah, David A. Greenberg

Bibliographic record

VenueATMOSPHERE-OCEAN · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
FundersCanadian Space Agency
KeywordsBathymetryBayTidal ModelStructural basinGeologySea levelWater levelOceanographyRemote sensingGeomorphologyGeographyCartography

Abstract

fetched live from OpenAlex

A high resolution model of the upper Bay of Fundy was developed to simulate the tides and sea level. The model includes the wetting and drying (inundation) of the extensive tidal flats in Minas Basin. The model reproduces the dominant M2 tidal harmonic with an error on the order of 0.30 m, and the total water level in Minas Basin with an r.m.s. error of 0.30–0.50 m. Overall the system is capable of a sea level simulation with a relative error of ∼10%. The motivation for the model development was the simulation of the land/water interface (instantaneous coastline) to aid in the validation of coastline retrieval algorithms from remotely sensed observations. Comparison of observed and simulated coastlines showed that a high quality representation of the local topography/bathymetry is as important as the sea level simulation in the calculation of the coastline. For example, long narrow features such as dykes are difficult to resolve in a dynamical model but are important for the inundation of low lying areas.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.214
Teacher spread0.183 · 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 designSimulation or modeling
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

Citations61
Published2005
Admission routes3
Has abstractyes

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