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New Arctic air transportation with Hybrid electrical disc shaped Airship and body plane Aircraft innovation

2020· article· en· W3049314501 on OpenAlexaboutno aff
Leonid Ponyaev, Mikhail Kuprikov, Nikita Kuprikov

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2020
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsAerospaceAerospace engineeringAeronauticsArcticEnvironmental scienceMeteorologyEngineeringGeographyGeologyOceanography

Abstract

fetched live from OpenAlex

Abstract The new Global International Air Transportation development as Logistic High Way via North Polar and Russia from Canada to Chaina are focusing to the new Airship and Large Hall Aircraft (LHA) Ecology Electrical Concept of the Transpolar Hybrid Power Fleet by ICAO& IATA Regulation and Sscurity along the Flight Routes with minimum Toxic & Noise to Climate and Passengers Safety. The paper analyzes the promising of Development Technologies of the Modern Hybrid Aero Systems as use the Solar Disc Shaped Airship (DSA) of Thermoplan LTA type by MAI Design and Production with EC Swiss. France and Germany cooperation. The estimation of the profitability of the Disk Shaped for the more Optimal Aerodynamic and Weight Efficiency in comparison with other view Forms for High Altitude Stratospheric & Orbital Complex as Astronomical Observatories and the implementation of International Aerospace Launches & Landings.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.161
Teacher spread0.154 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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