Symposium Abstracts
Bibliographic record
Abstract
The IFCC Working Group for Troponin I Standardization (WG-TNI) is developing a reference measurement system to support clinical measurement of cardiac troponin I.The IFCC WG-TNI performed a pilot study, in collaboration with industry, to investigate the feasibility of preparing a stable, commutable, pooled serum cTnI certified reference material (CRM).cTnI-positive serum samples from 90 patients, presenting to the emergency department with suspected acute myocardial infarction, were used to prepare seven pools with cTnI concentrations in the range, 200-10,000 ng/L.All pools were assessed for commutability through measurement by 16 commercial cTnI assays according to predefined testing protocols.The data from the pilot study was also used to evaluate the potential for standardization of the 16 assays.Through pair-wise comparisons of the commercial assay measurement results of both the candidate reference materials (RMs) and 90 individual patient samples, it was observed that all candidate RMs behaved equivalent to patient samples for all assays.Specifically, in pair-wise linear regression analysis of assay results, the measurement data from the candidate reference materials all fell within the 95% prediction interval of the Passing-Bablok regression line derived from the individual patient samples.Each assay was assessed against median cTnI concentrations measured by 16 systems using Passing-Bablok regression analysis of 79 patient samples with cTnI values above each assay's declared detection limit.An 8-to 9-fold difference in cTnI concentrations was observed among assays.After correction by a mathematical recalculation using slope and y-intercept values, between-assay variation was re-assessed.Overall, the 16 assays demonstrated negligible bias after realignment.Although the effort to achieve equivalence of clinical cTnI measurement through standardization has been a long process, the WG-TNI has made significant progress in the development of a serum-based CRM.The WG-TNI anticipated this CRM will be available in 2015.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.657 | 0.482 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".