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Record W2117635690 · doi:10.1109/oceans.1994.364272

Autonomous station for meteo-oceanographic data acquisition in Antarctica: prototype development and results from the first operative phase

2002· article· en· W2117635690 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Wave Propagation Studies
Canadian institutionsnot available
FundersBayer Canada
KeywordsBuoyBayRemote sensingData acquisitionMarine engineeringMeteorologyOceanographyGeologyComputer scienceEngineeringGeography

Abstract

fetched live from OpenAlex

In the beginning of the nineties the Italian National Antarctic Research Program has promoted a study aimed at the definition of an advanced automatic station able to operate with one year autonomy in Antarctic waters, allowing continuous collection of meteo-oceanographic data. The main results of the study were the demonstration of the feasibility of a concept based on a moored ice-resistent buoy able to allocate various instrumented modules, the definition of mission requirement and relevant sensing and electronic equipment, the identification of the most significant installation sites. In order to verify the concept in real operative conditions, a prototype of the station has been developed and installed in Antarctica during the 1993-94 Italian Expedition. The site chosen is located in Terra Nova Bay (Ross Sea) approximately 30 km south of the Italian Base, in about 450 meters water depth, and is characterized by the presence of a polynya. Once this first operative phase is completed, the station capabilities will be extended with the adoption of meteo-oceanographic sensors and other scientific packages. In the paper a description of the prototype station is given, and the results of the experimentation and data acquisition are presented and discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.309

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 head0.061
GPT teacher head0.287
Teacher spread0.226 · 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

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

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