TM Synchronization and Channel Coding Summary of Concept and Rationale - CCSDS 130.1-G-1-S
Bibliographic record
Abstract
This Informational Report contains the concept and supporting rationale for the TM Synchronization and Channel Coding Recommended Standard and includes performance data and historical background information on code selection.This report contains the concept and supporting rationale for TM Synchronization and Channel Coding developed by the Consultative Committee for Space Data Systems (CCSDS). It has been prepared to serve two major purposes: a) to provide an introduction and overview for the Channel Coding concept upon which the detailed CCSDS TM Synchronization and Channel Coding specifications (reference [3]) are based; b) to describe and explain the codes considered and to supply the supporting rationale. Supporting performance information along with illustrations are also included. This report provides a broad tutorial overview of the CCSDS TM Synchronization and Channel Coding and is aimed at helping first-time readers to understand the Recommended Standard. It is not intended to provide all necessary knowledge for successfully designing telemetry communication links. In no event will CCSDS or its members be liable for any incidental, consequential, or indirect damages, including any lost profits, lost savings, or loss of data, or for any claim by another party related to errors or omissions in this report. This document is a CCSDS informational Report and is therefore not to be taken as a CCSDS Recommended Standard. The actual Recommended Standard is in reference [3].
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.028 |
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".