Volcanic processes within the Petavius crater, nearside of the Moon
Bibliographic record
Abstract
Abstract This study presents a detailed investigation of compositional data (e.g., Moon Mineralogy Mapper (M3), Kaguya mineral abundance map) and gravity data (Regional, residual, and crustal thickness) to understand the volcanic history of Petavius crater (~ 180 km diameter crater centered at 25.3° S, 60.4° E). Spectral analysis of M3 data reveals the presence of feldspar mineral-plagioclase and olivine at the central peak and other mafic minerals like high and low pyroxene in distinct mare units. The composition of volcanic units are mafic with dominant phases of olivine, pyroxene and plagioclase mineral. Primary melt compositions simulated using the COMAGMAT model suggest that the magmas are Mg-rich (MgO = 10.3–24.5 wt%), and the thermal regime of the Petavius mantle was not anomalously hot (i.e., > 1500 °C). Bouguer gravity anomalies show an irregular high (~ 20 mGal) over the central peak towards the southwest of the crater and a minor poorly spread associated negative annulus. The fractures on the floor are probably linked with an underlying magmatic sill of high density, which may be affecting the observed positive Bouguer Gravity Anomaly patterns. The crustal thickness varies from 27 to 29 km at the center, 30–32 km at the floor, and 33–39 km at the rim of the crater. Considering all these points, we conclude that mare material that erupted through floor fractures of the crater floor was likely the result of magmatic intrusion within the fractured crust underneath the crater floor.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".