Evaluating the Effectiveness of a Space-Based AIS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although certain boats can avoid collisions by communicating with each other and stations on land, a network of satellites above the earth’s poles could give boats all over the planet that ability. The current system for collision-avoidance involves radio signals sent from boat-to-boat and boat-to-land. But the new system, based in space, would put satellites in the line of com¬munication. It would increase the capabilities of boats to detect each other and for land-stations to detect boats with faulty or suspicious voyage in¬formation. Adding satellites into the communica¬tion equation could make contemporary collision-avoidance technology available on a global scale. Bien que certains bateaux peuvent éviter les collisions en communiquant un à l'autre et avec les stations à terre, un réseau de satel¬lites pourrait donner bateaux sur toute la planète cette capacité. Le système actuel pour éviter l'abordage utilisent les signaux radio envoyés par bateau à bateau et bateau-à-terre, mais le nouveau système, basé dans l'espace, mettrait des satellites entres les communicants. Il aug¬menterait les capacités des bateaux à détecter entre eux et pour les stations terrestres pour détecter les bateaux avec l'information de voy¬age défective ou suspect. En ajoutant les satel¬lites dans à la communication, on pourrait ren¬dre la technologie d'évitement des collisions contemporain disponible à l'échelle mondiale.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it