Bibliographic record
Abstract
The electrodeposition method has been developed for the fabrication of hyaluronic acid films from sodium hyaluronate solutions. The amount of the deposited material increased with increasing deposition time, resulting in the formation of 0·1–3 μm thick films. The co-deposition of hyaluronic acid and hydroxyapatite (HA) resulted in the fabrication of novel nanocomposite films by electrodeposition. In the proposed method, hyaluronate provided electrosteric stabilisation and charging of HA particles. Deposit composition can be varied by the variation of HA concentration in the sodium hyaluronate solutions. The method enabled the formation of composite films of different thicknesses in the range of 0·1–100 μm. Obtained films were studied by X-ray diffraction, thermogravimetric and differential thermal analysis, scanning electron microscopy and Fourier transform infrared spectroscopy. Composite films showed corrosion protection of stainless steel substrates in Ringer's physiological solutions. The mechanism of deposition is discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".