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Record W3133183386 · doi:10.25607/obp-771

International list of Voluntary Observing Ships Metadata fields & descriptions, exchange formats and code tables. Metadata Format Version 04. (Document Revision 4.2) .

2017· article· en· W3133183386 on OpenAlexaboutno aff

Bibliographic record

VenueIOC of UNESCO (Intergovernmental Oceanographic Commission) · 2017
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMetadataComputer scienceMetadata repositoryInformation retrievalWorld Wide WebGeospatial metadataDatabaseMeta Data ServicesDatabase catalogCode (set theory)Set (abstract data type)Programming language

Abstract

fetched live from OpenAlex

WMO maintains a catalogue of ships participating in the global Voluntary Observing Ship (VOS) Scheme. The catalogue is produced from the national VOS lists submitted by WMO Members. The catalogue, which contains a comprehensive range of ship’s metadata, was originally available as a WMO publication, WMO-No. 47 (commonly referred to as Pub 47). Due to increasing printing and distribution costs, the publication was suspended in the late 1990s. An electronic version of the catalogue became available on the WMO website < http://www.wmo.ch/web/www/ois/pub47/pub47-home.htm > during 2003. Despite the changed method of distribution, the electronic file retains the name of the original publication. Because of changing demands for ship’s metadata, the Ship Observations Team (SOT) formed a Task Team at SOT-II (July 2003, London, UK) to revise the metadata requirements of WMO-No. 47. The proposed changes were subsequently approved at JCOMM-II (September 2006, Halifax, Canada). This document describes the field descriptions, presentation layout and file exchange formats for WMO-No. 47, Metadata Format Version 04, approved at JCOMM-II. These changes come into effect on 1 June 2013. Summary of changes in this version 1. Type of meteorological reporting ships vsslM (Code Table 2202): a. Add new code 80 for manually reporting third party support ship. b. Add new code 85 for AWS-equipped third party support ship. 2. Exposure of the hygrometer hgrE, exposure of the dry-bulb thermometer thmE (Code Table 0801) a. Add new code HH for hand held digital thermometer/humidity sensor. b. Add new code RS for radiation shield (e.g. cylindrical / Gill multi-plate radiation shield). 3. Recruiting country rcnty, country of registration reg (Code Table 1801) a. Add new code ZZ for third party support ships. 4. Change in the location referenced in the XML Schema namespace variable.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score1.000

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 communication0.0000.003
Open science0.0010.001
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 head0.026
GPT teacher head0.249
Teacher spread0.224 · 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.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

Explore more

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