What’s\nin an EEM? Molecular Signatures Associated\nwith Dissolved Organic Fluorescence in Boreal Canada
Bibliographic record
Abstract
Dissolved\norganic matter (DOM) is a master variable in aquatic\nsystems. Modern fluorescence techniques couple measurements of excitation\nemission matrix (EEM) spectra and parallel factor analysis (PARAFAC)\nto determine fluorescent DOM (FDOM) components and DOM quality. However,\nthe molecular signatures associated with PARAFAC components are poorly\ndefined. In the current study we characterized river water samples\nfrom boreal Québec, Canada, using EEM/PARAFAC analysis and\nultrahigh resolution mass spectrometry (FTICR-MS). Spearman’s\ncorrelation of FTICR-MS peak and PARAFAC component relative intensities\ndetermined the molecular families associated with 6 PARAFAC components.\nMolecular families associated with PARAFAC components numbered from\n39 to 572 FTICR-MS derived elemental formulas. Detailed molecular\nproperties for each of the classical humic- and protein-like FDOM\ncomponents are presented. FTICR-MS formulas assigned to PARAFAC components\nrepresented 39% of the total number of formulas identified and 59%\nof total FTICR-MS peak intensities, and included significant numbers\ncompounds that are highly unlikely to fluoresce. Thus, fluorescence\nmeasurements offer insight into the biogeochemical cycling of a large\nproportion of the DOM pool, including a broad suite of unseen molecules\nthat apparently follow the same gradients as FDOM in the environment.
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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 | 0.000 | 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) | 0.020 | 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".