Structural investigation of marine biomolecules by tandem mass spectrometry
Bibliographic record
Abstract
A wealth of undiscovered scientific information is held within our oceans. Elucidation of this scientific information will play a leading role in understanding the aqueous environment. This thesis focuses on two main research goals. The first one involves the qualitative and quantitative investigations of the protein composition of Atlantic cod (Gadus morhua) otoliths. Cod otoliths have been sampled for decades; however, a wealth of information remains to be uncovered. With advancements in novel scientific technologies, we are beginning to probe the physiological and biochemical blueprints of their proteins and biomarker components. This research will help clarify how the aqueous environment influences the full life history of fish. Most importantly, it will contribute to efforts aimed at preserving fish populations for future generations. The detailed study of otolith protein composition is an emerging scientific field that seeks to explain the diverse roles of otolith proteins and their relationships with physiological and biochemical growth functions. The second goal of this thesis involves the structural elucidation of lipopolysaccharide (LPS) components from marine Gram-negative bacteria that impact aquaculture ventures. The LPS of bacterial cell walls contains lipid A, which is essential for fish vaccine development and is used as a vaccine adjuvant. Therefore, we will explore the molecular structure of two lipid A molecules, isolated from different Gram-negative marine bacteria belonging to the Vibrionaceae and Aeromonadaceae families.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".