Additional file 1 of Regulating the surface of anion-doped TiO2 nanorods by hydrogen annealing for superior photoelectrochemical water oxidation
Bibliographic record
Abstract
Additional file 1: Figure S1. The photocurrent density of S, N-doped TiO2 photoanodes under various annealing conditions. The photocurrent density of 350 ℃ air-annealed S, N-doped TiO2 photoanode was set as the reference, displayed as the gray dotted line. Figure S2. XPS spectra of Ti 2p for H2 heat treatment condition. Figure S3. Nanostructure of the reference samples investigated by SEM. Pristine TiO2 nanorod arrays annealed under (a) ambient air and (b) H2 at 350 ℃. (c) S, N-doped TiO2 nanorod arrays annealed under ambient air at 350 ℃. Figure S4. Ti 2p XPS spectra of the optimum and reference samples. Figure S5. (a, b) N 1s and (c, d) S 2p XPS spectra of the optimum and reference samples. Figure S6. The results of linear sweep voltammetry(LSV) including non-annealed samples. LSV curves for (a) pristine TiO2 photoanodes and (b) S, N-doped TiO2 photoanodes. Figure S7. Graphs showing the Mott-Schottky curve fitting for carrier concentration calculation. Mott-Schottky curve fitting for pristine TiO2 nanorod arrays annealed under (a) ambient air and (b) H2 atmosphere. Fitting was also operated to the Mott-Schottky curve of S, N-doped TiO2 nanorod arrays annealed under (c) ambient air and (d) H2 atmosphere. Table S1. Carrier concentration calculation.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.871 | 0.153 |
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".