Bibliographic record
Abstract
The adjoint method is applied to derive simple integral formulas for the sensitivity study of the Adem Ocean Thermodynamic Model to small variations both in the heat forcing and in the initial and boundary conditions In each formula, the adjoint model solution is a useful source of information about the contribution of such variations to average sea surface temperature anomaly in a certain region. Thanks to special conditions set at inflow and outflow liquid boundaries- the main and adjoint thermodynamic models are well-posed in the sense of Hadamard (1923) not only for closed, but also for open oceanic basins. Balanced and absolutely stable implicit finite-difference schemes of the 2nd order approximation both in space and m time are constructed for the main and adjoint ocean thermodynamic models. The schemes are based on the splitting method and easily solved by the factorization. Both unsplit and split difference operators ofthese schemes satisfy the discreto Lagrange identity at every time step. In the nondissipative and unforced case when there is no flux across the liquid boundaries, the schemes have two conservation laws each.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.988 | 0.998 |
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; both teacher heads agree on what is shown here.
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".