Particulate Organic Matter Distributions in the Water Column of the Chukchi Sea during Late Summer
Bibliographic record
Abstract
Two oceanographic cruises were completed in September 2016 and August 2017 to investigate the distribution of particulate organic matter (POM) across the northeast Chukchi Shelf. Both periods were characterized by highly stratified conditions, with major contrasts in the distribution of regional water masses that impacted POM distributions. Overall, surface waters were characterized by low chlorophyll fluorescence (Chl Fl<0.8 mg m -3 ) and particle beam attenuation (c p <0.3 m -1 ) values, and low concentrations of particulate organic carbon (POC<8 mmol m -3 ), chlorophyll and pheophytin (Chl+Pheo<0.8 mg m -3 ), and suspended particulate matter (SPM~2 g m -3 ). Elevated Chl Fl and Chl+Pheo (~2 mg m -3 ) values measured at mid-depths below the pycnocline defined the subsurface chlorophyll maxima (SCM), which exhibited moderate POC (~10 mmol m -3 ), c p (~0.4 m -1 ) and SPM (~3 g m -3 ). In contrast, deeper waters below the pycnocline were characterized by low Chl Fl and Chl+Pheo (~0.7 mg m -3 ), high c p (>1.5 m -1 ) and SPM (>8 g m -3 ) and elevated POC (>10 mmol m -3 ). POM compositions from surface and SCM regions of the water column were consistent with contributions from active phytoplankton sources whereas samples from bottom waters were characterized by high Pheo/(Chl+Pheo) ratios (>0.4) indicative of altered phytoplankton detritus. Marked contrasts in POM were observed in both surface and mid-depth waters during both cruises. Increases in chlorophyll and POC were measured in mid-depth waters during the September 2016 cruise following a period of downwelling-favorable winds, and in surface waters during the August 2017 cruise following a period of upwelling-favorable winds.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".