Reply to Discussion by Kaya et al. on “Swelling characteristics of bentonite in artificial seawater”Appears in Canadian Geotechnical Journal, <b>46</b>(10): 1236–1238.
Bibliographic record
Abstract
The authors are extremely grateful to Drs. Kaya, YukselenAksoy, and Oren for their valuable and constructive discussion. We are aware that their discussion is as follows: (1) It is known that calcium-type bentonite has lower swelling potential than sodium-type bentonite. However, the swelling-pressure test results shown in Fig. 6 in Komine et al. (2009) contradict this. (2) The authors of the discussion believe that the reported swelling pressures of bentonites are a coupled function of the water and montmorillonite content of bentonites. For their evidence, they show new figures by using the experimental data in Komine et al. (2009). Thus, from the presented data, it is difficult to reach the conclusion that the ‘‘influence of artificial seawater on the swelling characteristics of sodium-type and artificial sodium-type bentonites is low’’ and ‘‘the influence of artificial seawater on the swelling characteristics of calcium-type bentonites is more slight than sodium-type and artificial sodium-type bentonites.’’
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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 | 0.010 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.044 | 0.042 |
| Insufficient payload (model declined to judge) | 0.006 | 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".