Surface and Corrosion Electrochemical Characterization of Titanium Foams for Implant Applications
Bibliographic record
Abstract
Electrochemical impedance spectroscopy has been revealed to be a useful tool to evaluate the exposed surface area and consequently to evaluate the corrosion behavior of titanium foams intended for biomedical applications. In order to find the most accurate corrosion assessment, a new equivalent circuit involving a porous model in series with a double layer model was proposed to fit the experimental data. Although seldom used in the literature, such technique could be useful for the characterization of porous media. Determining corrosion potentials and current densities, the titanium foams have revealed to be slightly more resistant to corrosion in simulated body fluid solutions at 37°C under static mode (no stress applied to the samples) compared to dense and polished titanium. The best titanium foams exibited penetration rates around . Cyclic voltammetry experiments have shown that the titanium oxide layer stability was not affected by the fabrication process of the foams.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".