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Record W6948483423 · doi:10.5281/zenodo.10211234

Cleansky2 STRONrCRAFT/IMACS/ICASSIO/PROTeCTED/UBBICK projects overview

2023· other· en· W6948483423 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsCrewIcingAviationWork (physics)Project managementLiquid oxygen

Abstract

fetched live from OpenAlex

This video presents an overview of the research work performed by Safran Aerosystems in the frame of the Cleansky2 / Clean Aviation Joint Undertaking programme: STRONGrCRAFT project on fast rotorcraft platform focuses on low weight full equipped fuel tanks for new rotocraft IMACS project on Large Passenger Aircraft Platform was dedicated to study the use of nitrogen generation to replace Halon Gas for cargo fire suppression. UBBICK project on Large Passenger Aircraft Platform has the objective to propose novel aircraft systems architecture brought by the Utility Management System for Business Jet operations PROTeCTED project on Large Passenger Aircraft Platform has offer Improved crew oxygen mask situation awareness and Enhanced oxygen autonomy during emergency events ICASSIO project dedicated to Icing condition on System Platform has achieved a high level of compliance of performances with new regulatory rules for Supercooled Large Droplets (SLD) discrimination, Ice Accretion Rate measurement and Ice Crystals detection

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.221
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2210.164

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 head0.077
GPT teacher head0.270
Teacher spread0.193 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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