Part II: The influence of substrate type, film thickness, and primary ion type on molecular weight characterization of linear polydimethyl siloxane films by secondary ion mass spectrometry
Bibliographic record
Abstract
In our previous paper, we showed that the molecular weight of linear, trimethyl‐terminated polydimethyl siloxane (PDMS) can be estimated using a standard curve by measuring PDMS endgroup‐related signal normalized to backbone‐related signal for PDMS films that are thick relative to the information depth of SIMS. Within industrial surface analysis laboratories, it is more likely that PDMS fluid is encountered as a thin film, perhaps as a contaminant or an additive that has exuded from a bulk material. This paper explores the influence of PDMS film thickness, substrate type, and primary ion projectile type (cluster vs. monoatomic) on the ratio of measured endgroup:backbone peak area ratio. These factors are shown to have a significant influence on the measured spectra, and these effects should be carefully considered before making molecular weight estimates of PDMS based on SIMS peak ratios.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".