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Record W6948906283 · doi:10.5281/zenodo.11524119

Highlights of the Airbus A220 from a Pilot's Perspective

2024· article· en· W6948906283 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsAir Canada
Fundersnot available
KeywordsCockpitCruiseAisleAvionicsAirplanePerspective (graphical)ClimbCrewAircraft industry

Abstract

fetched live from OpenAlex

The Airbus A220 is one of the most modern passenger transport aircraft in the sky. The first flight in 2013 revealed the result of 26 years of development in comparison to the well-known Airbus A320. What has changed? What has been improved? The lecture takes the audience on a typical journey in the A220 formerly known as Bombardier CSeries 100/300 from a pilot’s perspective. Throughout the various stages of a flight from preparation, take-off, climb and cruise until approach and landing a wide range of highlights and advantages of this aircraft are presented. Aspects such as Avionics / Flight Deck layout, Handling, Performance, Cabin, Engines and operational experience are covered. The single aisle Airbus A220 is a success already and the number of operators using it is growing. For passengers it provides a spacious cabin and for pilots a modern flight deck layout and efficient aircraft to operate. The presentation shows the differences between the new Airbus A220 to the better-known Airbus A320 family.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.012

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 head0.023
GPT teacher head0.231
Teacher spread0.207 · 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
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
Published2024
Admission routes1
Has abstractyes

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