Reply to L. Kutzbach
Bibliographic record
Abstract
We thank Dr. Kutzbach for providing us with an opportu-nity to clarify a detail of our model recently presented in (Khvorostyanov et al., 2008, hereafter K08). The comment by Kutzbach (2009) is based on the assumption that the sur-face heat balance (SHB) in eq. (2) of K08 is a function of the prescribed atmospheric forcing only, thereby neglecting the diffusive ground heat flux G = −k ∂T/∂z|z=0+ (with z and G being defined positive downwards). However this is not true. Our model calculates the surface heat balance as: B = S↓(1 − α) + L ↓ − L ↑ − L − S + G, where S ↓ is the downwelling solar radiation, L↓and L ↑ are down- and upwelling longwave radiation fluxes, S and L are the turbulent sensible and latent heat fluxes, respectively (posi-tive upwards), and G is the ground heat flux (positive down-
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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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.025 | 0.026 |
| Insufficient payload (model declined to judge) | 0.009 | 0.008 |
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".