Bibliographic record
Abstract
The non-thickness-limited (NTL) growth phenomenon reported by Melody et al. in which anodic oxide films on tantalum continue to grow in dry glycerol solutions of dibasic potassium phosphate to large thicknesses (tens of micrometers) at low applied voltages (tens of volts) was investigated using mostly constant current growth. The field strengths in the oxide for growth of anodic oxide films at 180°C with constant current density in wet glycerol solutions (1 vol % water) were in the MV/cm range and close to those calculated from the equations fitted to data from growth in aqueous solutions at lower temperatures. At constant current density and 180°C in dry glycerol solutions, the field fell with time and eventually the voltage decreased as the NTL state developed. The current efficiency for the growth of oxide was estimated by comparing thickness increase measured by ellipsometry with that calculated from the charge passed. It was lower in the NTL state. This is consistent with increased electronic conductivity in the oxide. The dielectric losses of the NTL films were much higher than those of films grown in wet glycerol solutions. Those grown in wet glycerol showed the normal, almost frequency independent, tan δ as found for ordinary anodic oxide growth on tantalum. Those grown in dry glycerol solutions showed increasing tan δ as the frequency decreased, consistent with increased electronic conductance through the oxide. It is suggested that the increased electronic and ionic conductivity in the NTL state may be caused by nonstoichiometry induced by the change in hydroxyl ion availability to the oxide suggested by Melody et al. when dry glycerol solutions are used. © 2001 The Electrochemical Society. All rights reserved.
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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 | 0.000 | 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) | 0.000 | 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 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".