Optical properties of size and chemical fractions of suspendedparticulate matter in littoral waters of Quebec
Bibliographic record
Abstract
Abstract. Mass-specific absorption (aSPM*) and scattering (bSPM*) coefficients of suspended particulate matter (SPM) were measured for different size (0.2–0.4 µm, 0.4–0.7 µm, 0.7–10 µm, and >10 µm) and chemical (organic- vs mineral-rich) fractions in surface waters (i.e., 0–5 m depth) of the Saint Lawrence Estuary and Saguenay Fjords (SLE-SF) during spring of 2013. For the spectral range 400–700 nm, scattering cross sections for particulate inorganic matter were commonly larger with respect to those measured in other littoral environments. This phenomenon was attributed the lower water turbidity and associated decrease on mean particle size of SLE-SF surface waters with respect to other river-influenced regions (e.g., Gironde River). Also, aSPM* values in our study area were relatively high in locations having iron-enriched particulates. Lastly, correlation analysis suggests that particle composition (size distribution) has a larger impact on aSPM* (bSPM*) variability.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".