MétaCan
Menu
Back to cohort
Record W4393555412 · doi:10.5281/zenodo.10242057

Royal Factory B.E. 2c - First World War Airplane

2017· dataset· en· W4393555412 on OpenAlexaboutno aff
technoscience d

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typedataset
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsFactory (object-oriented programming)AirplaneAeronauticsEngineeringManagementComputer scienceAerospace engineeringEconomics

Abstract

fetched live from OpenAlex

The U.K. designed B.E. 2s saw service with the Royal Flying Corps (U.K.) from 1912 onwards. The B.E. 2c operated in France, mainly for reconnaissance and observation, although some were single-seat bombers. Single-seat B.E. 2c night fighters downed six airships over Britain. The B.E. 2c found at the Canada Aviation and Space Museum was sent to Canada as a war trophy in 1919. It was restored in the late 1950s and became a part of the Museum in 1964. Note: This model is mainly meant to be viewed in a virtual environment using computer software. You can try printing it off, though we cannot guarantee the quality. For educational activities that this model can be used in, please visit: ingeniumcanada.org/ingenium/museums/education/3D-aircrafts.php Our terms of use can be found [here.](https://ingeniumcanada.org/ingenium/doc/content/cstmc/CSTMC%20terms%20of%20use%203D%20ENG.pdf) Source: Objaverse 1.0 / Sketchfab

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.072
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0590.167

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 head0.041
GPT teacher head0.297
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreDataset

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

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicInternational Law and AviationFrench-language works237,207