Detection and Confirmation of Food Allergen using Mass Spectrometric Techniques: Characterization of Allergens in Hazelnut using ESI and MALDI Mass Spectrometry
Bibliographic record
Abstract
Mass spectrometric techniques were used to identify and characterize allergens in a hazelnut protein extract either directly in solution or after separation on 1D and 2D gels. Five major proteins were identified including Cor a 8 (Lipid transfer protein precursor), Cor a 1, Cor a 9 (11S globulin-like protein), Cor a 11 (48 kDA glycoprotein precursor) and Oleosin. The protein extract was either digested with trypsin followed by analysis using electrospray and MALDI for peptides, or the intact proteins were analyzed directly with MALDI. Complementary results were obtained from both methods. A new data acquisition method using alternating low and high energy acquisition was also investigated.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".