Analysis and modelling on coring process of deep‐sea gravity piston corer
Bibliographic record
Abstract
Taken the deep‐sea gravity‐piston corer as the prototype, a model of the corer penetrating was built based on energy conservation and by analysing the coring process. The effects of influencing parameters of the deep‐sea gravity‐piston corer on the penetration process and coring length were analysed. In addition, a comparison between the calculated values and the real examples was performed. The results show that corer weight, sediment properties and penetration velocity affect the coring performance. The penetration depth significantly increases with an increase in corer weight, and the corer weight plays an important role in the process of the corer penetrating. Moreover, the penetration depth decreases with the friction coefficient of increasing sediment, while it gradually increases with an increase in penetration velocity. It is also revealed that the penetration depth decreases approximately linearly as the core barrel diameter. Consequently, these will provide the basic data for the design and optimisation of deep‐water gravity‐piston corer.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".