The Integrated Deconvolution Estimation Model: Effect of Inter‐Laboratory <sup>13</sup>C NMR Analysis on IDEM Performance
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 The IDEM estimates the reactivity ratios of multiple‐site‐type catalysts used to make ethylene/ α ‐olefin copolymers. Analytical data from high‐temperature GPC and 13 C NMR are required in the estimation process. The CSLD information from the 13 C NMR is a crucial step in the estimation method due to NMR sensitivity and probe efficiency. The effect of inter‐laboratory analysis on IDEM parameter estimation and model predictions is studied. The copolymer samples are analyzed at the University of Waterloo and Dow Chemical Research Center at Freeport, Texas without standardization. The results prove that the IDEM is a robust parameter estimation model for ethylene/ α ‐olefin copolymers made with multiple‐site‐type catalysts, even when the copolymer samples are analyzed in different laboratories. magnified image
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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