Budowa statków powietrznychi system żeglugi powietrznej
Bibliographic record
Abstract
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International Civil Aviation Organization, Montreal, Canada. \n[ 19 ] Konwencja o międzynarodowym lotnictwie cywilnym (konwencja chicagowska) \nzostała podpisana 7 grudnia 1944 r. w Chicago. \n[ 20 ] Bugayko D., Isaienko V., Kharchenko V., Pawęska M.: Challenges of International \nScience and Education in the Field of Aviation Transport Safety. Logistics and \nTransport– Wroclaw: International School of Logistics and Transport in Wroclaw. \n– 2018. – Nr 2 (38). – s. 23–32. \n[ 21 ] Doc, ICAO (2008). 9613: Performance-based navigation (PBN) manual. Montréal: \nInternational Civil Aviation Organisation, 304. \n[ 22 ] Doc, ICAO (2012). 9849: Global Navigation Satellite System (GN SS) Manual, s. 68. \n[ 23 ] Encyclopedia of aviation safety. Kulik N.S. 2008. s. 999. (w jęz. ukraińskim). \n[ 24 ] Eurocontrol, (2008) GUID -114, Guidelines for PRNA V Infrastructure Assessment, \nEdition 1.2, 35. \n[ 25 ] European RPAS Steering Group. (2013). 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Załącznik 10 do Konwencji o międzynarodowym \nlotnictwie cywilnym, tom 4, ICAO , 2007, s. 288. \n[ 62 ] Jeannin J., Ghorbal K., Kouskoulas Y., Gardner R., Schmidt A., Zawadzki E., Platzer A.: \nFormal verification of ACAS X, an industrial airborne collision avoidance system.Artykuł prezentowany podczas Proceedings of the International Conference \non Embedded Software 2015, EM SOF T 2015, 127–136. https://doi.org/10.1109/ \nEM SOF T.2015.7318268. \n[ 63 ] Kastelein M., De Haag M.U.: Preliminary analysis of ADS-B performance for use \nin ACAS systems. Artykuł prezentowany podczas AIAA /IEEE Digital Avionics \nSystems Conference – Proceedings, 7D31-7D310, 2014. https://doi.org/10.1109/ \nDA SC.2014.6979522. \n[ 64 ] Kaune R., Steffes C., Rau S., Konle W., Pagel J.: Wide area multilateration using \nADS-B transponder signals. 15th International Conference on Information Fusion \n2012, 9.07.2012 (s. 727–734). IEEE . \n[ 65 ] Kharchenko V.P., Ostroumov I.V.: Avionics. Kijów, 2013. s. 281. ISBN: 978-966- \n598-573-0 (w jęz. ukraińskim). \n[ 66 ] Kutsenko O., Ilnytska S., & Konin V.: Investigation of the residual tropospheric \nerror influence on the coordinate determination accuracy in a satellite landing \nsystem. Aviation, 22(4), 2018, s. 156–165. https://doi.org/10.3846/aviation.2018.7082. \n[ 67 ] Kuzmenko N.S., Ostroumov I.V.: Performance Analysis of Positioning System by \nNavigational Aids in Three Dimensional Space. System Analysis & Intelligent \nComputing: SAIC 2018 1st International Conference of IEEE . 2018. s. 101–104. \nDOI : 10.1109/SAIC .2018.8516790. \n[ 68 ] Kuzmenko N.S., Ostroumov I.V., Kharchenko V.P.: Improving the Accuracy of \nAircraft Positioning by Navigational Aids Using Kalman Filter. Signal Processing \nSymposium: SPSympo-2019, International Conference of IEEE . 2019. s. 109-114. \nDOI : 10.1109/SPS.2019.8882072. \n[ 69 ] Kuzmenko N.S., Ostroumov I.V., Marais K.: An Accuracy and Availability Estimation \nof Aircraft Positioning by Navigational Aids. Me
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".