Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A test protocol was developed to provide an assessment of the effects of various film defects as well as to perform post-exposure qualitative and quantitative evaluations on eight different coatings systems. A variety of film defects were created; linear scribe, X-scribe, impact, and a welded U-channel. After exposure, the analysis consisted of visual evaluations (blister, rust, scribe creepage), as well as EIS, moisture permeability, and FTIR. The exposures were performed in an accelerated corrosion cycle (NACE TM0404/0304), as well as exterior exposure in 3 environments; Near-Ocean in both northerly and subtropical latitudes (Newfoundland and Florida) as well as light industrial (Cleveland, Ohio). The coatings were applied over a variety of surfaces preparations as well. It was found that EIS used in conjunction with accelerated cyclic exposure can predict a coating’s behavior in exterior. Angular surfaces (U-channel) was found to provide good visual information not observed in flat panels. Film thickness only seems to play a role if particularly high, but a thin film of highly UV resistant fluoropolymer may significantly retard corrosion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it