Retraction: Effects of Li-doping on microstructural and electrical properties of ZnO–MgO–Al<sub>2</sub>O<sub>3</sub> linear resistance ceramics
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
In this article, The ZnO-MgO-Al2O3 linear resistance ceramics doped with Li2O have been prepared by the conventional ceramic method. The microstructure and the crystal characteristics were investigated by field emission scanning electron microscopy (FESEM) equipped with energy dispersive spectrometer (EDS) and X-ray diffraction (XRD) respectively. With the increasing of Li2O content, the grain growth of ZnO-based linear resistance ceramics was enhanced and the resistivity was also influenced significantly. The experimental result indicates that the doping of Li2O can reduces the nonlinear coefficient and improves the resistance temperature coefficient of the ZnO-based linear resistance ceramics obviously. The samples at the Li2O content of 8 mol% exhibit excellent electrical properties with the resistivity of 589.34 Ω cm and the resistance temperature coefficient of 0.8 *10-4/ oC. Moreover, the nonlinear coefficient of the ZnO-based linear resistance ceramics decreases from 1.28 to 1.14 as the Li2O concen...
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | no category Domain: not available · Genre: Editorial About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.012 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".