Gravity modeling of lunar lava tubes: Insights from Ape Cave as a terrestrial analogue
Bibliographic record
Abstract
The files presented here serve as a repository for the datasets generated during the research Gravity Modeling of Lunar Lava Tubes: Insights from Ape Cave as a Terrestrial Analogue. The material includes the following: Gravity_Field_Corrected.csv: contains the corrected gravity data collected from four transects at Ape Cave (WA, USA) in June 2023. Gravity_Forward_Ape_Cave.csv: synthetic results obtained from the gravity forward modeling of Ape Cave, using a density contrast of 2746 kg/m³ and a high-resolution 3D model of the cave. Gravity_Lunar_North.csv and Gravity_Lunar_South.csv: synthetic results obtained from the gravity forward modeling of a lunar lava tube with Ape Cave dimentions and a density contrast of 3270 kg/m³, a minimum depth of 26 m and two layers of regolith with a combined thickness of 5 m. The model was split into North and South sections due to model size constraints. Gravity_Lunar_Scaled_North.csv and Gravity_Lunar_Scaled_South.csv: synthetic results obtained from the gravity forward modeling of a lunar lava tube five times larger than Ape Cave, a density contrast of 3270 kg/m³, a minimum depth of 26 m and two layers of regolith with a combined thickness of 5 m. The model was split into North and South sections due to model size constraints.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".