10.1016/0967-0653(96)85901-1
Bibliographic record
Abstract
The Ala Wai Canal currently possesses a diverse and differentially distributed phytoplankton community that includes a minimum of 20 diatom genera, four dinoflagellate genera, and one cyanophyte genus. The diatom populations of the canal may be characterized by two ecological components: (I) diatoms thought to be intolerant of the estuary's variable physical conditions, and (2) diatoms believed to be tolerant to most environmental conditions found in the canal. The phytoplankton in the region between the head of the Ala Wai Canal and the Manoa-Palolo Stream outfall are primarily dinoflagellates. These algae may be restricted to this part of the canal, in part, because the sediment berm formed adjacent to the Manoa-Palolo Stream outfall restricts water motion, thereby altering circulation patterns, water temperature, and oxygen concentration at the head of the canal, favoring a dinoflagellate dominated-community. Lyngbya (Cyanophyta) is found throughout the canal at low relative densities. The distribution of the dominant diatom Skeletonema costatum (Greville) Cleve as well as similarity of phytoplankton populations across sites indicated that migration of phytoplankton within the canal is tidally controlled. Flushing the canal by pumping in seawater at its head has the potential to substantially alter phytoplankton composition and distribution at points in this waterway and may eliminate an entire division of algae from the head of the canal.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.990 | 0.993 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".