Bibliographic record
Abstract
It is vital to have an effective emergency recovery model for submarines running at great depths and large angles of attack.To provide such a model,the effects of motion and pose on the capabilities of the submarines had to be investigated.The investigation used a state-space motion model of submarine maneuverability.The impacts of variations in parameters,including different propeller loads,at large angles of attack were combined in a hydrodynamic model.Next,based on Laval nozzle theory,a means to model blowing the ballast compartments was derived.With compartments flooded at great depths,potential for recovery,and the pose and state needed for the recovery process were predicted.The results proved the new model provides reliable motion rules and thus reliably forecasts the recovery capabilities of flooded submarines.It has solved the non-linear phenomena such as scattering of the forecast result,mutation of state parameter,etc,which caused inaccuracies in prior motion rules for submarines running at depth with large attack angles.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".