Comment [on “Deep‐penetration heat flow probes raise questions about interpretations from shorter probes” by Géli et al.]
Bibliographic record
Abstract
Géli et al. [2001] ( Eos , 17 July 2001, p. 317) recently presented three examples of particularly deep marine gravity‐corer temperature observations made to 18 m below the sea floor (mbsf). They noted large deviations of shallow temperatures from the trends of the deep thermal gradients and called into question the accuracy realized with short probes commonly used in detailed heat‐flow studies. We show this to be not a general concern, although attention must be given to perturbations from bottom water temperature variations in some deep ocean locations. We also show that the detail with which geographic and depth variability of heat flow must commonly be defined cannot be achieved with corer‐outrigger observations. Successful interpretation of widely spaced observations like those presented by Géli et al. [2001] requires complementary detailed data collected with multi‐penetration probes.
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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) | 0.004 | 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".