Kinetic Model of CCA Fixation on Wood. Part III. Model Validation
Bibliographic record
Abstract
In previous studies, models were developed for the initial and main fixation reactions of chromated copper arsenate (CCA-C) on red pine wood as a function of time and isothermal wood temperature conditions following treatment with 1% CCA-C. In this study, these models are used to predict the amount of fixation over sequential short non-isothermal intervals as a way of predicting time to total fixation under variable temperature conditions. The rate of fixation of CCA-C treated red pine pole sections could generally be accurately predicted, using these models, from thermocouple temperature readings in the pole surface, even under a highly variable temperature fixation regime. However, variations in fixation rate were observed even within a single pole, associated with density differences at the butts and tops of the poles. This confirms that fixation time estimates are very sensitive to the model parameters and suggests that the model may not accurately predict fixation rates over a wide range of material sources.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".