Formation of wormholes by dark matter in the galaxy Dragonfly 44
Bibliographic record
Abstract
Recently, the ultra-diffuse galaxy (UDG) Dragonfly 44 in the Coma Cluster was observed and observations of the rotational speed suggest that its mass is almost the same as the mass of the Milky Way. On the other hand, interestingly, the galaxy emits only 1% of the light emitted by the Milky Way. Thus, astronomers reported that Dragonfly 44 may be made almost entirely of dark matter. In this study we try to determine whether or not the dark matter that constitutes Dragonfly 44 can form a wormhole. Two possible dark matter profiles are used, namely, UDG King’s model and generalized Navarro–Frenk–White (NFW) dark matter profile. We have shown that King’s model dark matter profile does not manage to provide a wormhole whereas the generalized NFW dark matter profile manages to find wormholes.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".