Bibliographic record
Abstract
Safran Electronics & Defense’s hemispherical resonator gyroscope, the HRG Crystal™, has widely proven its ability to fulfill performances requirements usually reached by optical technologies (RLG and FOG), with the best C-SWaP1characteristics and much higher reliability (cf. DARPA latest study [5]).Based on HRG Crystal™technology, Safran Electronics & Defense has developed a new type of inertial core called HRG Crystal™DUAL CORE, able to reach higher performances similar to the ones achieved by ESG technology.Indeed, thanks to the unrivalled C-SWaP of HRG Crystal™for navigation grade gyro, the integration of multi sensors cores in a single cluster-core, made of 6 HRG Crystal™gyroscopes (instead of 3 for “standard” cores), and accelerometers, becomes possible.The DUAL CORE principle, patented by Safran Electronics & Defense, relies on resonator gyroscopes’ intrinsic characteristic: its self calibration capability. Thus, in a DUAL CORE, while 3 gyros are navigating, the 3 others are self calibrating, strongly increasing the inertial system’s accuracy.HRG Crystal™DUAL CORE allows Safran Electronics & Defense to address the most demanding applications with breakthrough products. For instance, in the naval market, Safran has launched at Euronaval 2018 the Black-Onyx™DUAL CORE, an INS for submarines that addresses the market with unreached performances: better than 0.5 NM/120h.There is no doubt that, in the near future, other defense sectors, like land and aeronautics, will be addressed with HRG Crystal™DUAL CORE inertial systems, as the need of extended performances, with better C-SWaP, becomes more and more significant each day.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".