Expansion of Cover of Mangrove <scp> <i>Avicennia marina</i> </scp> in Lake Illawarra, Southeast Australia, Following Construction of a Permanent Entrance
Bibliographic record
Abstract
ABSTRACT In 2007, civil works intended to provide a permanent entrance at Lake Illawarra, an intermittently opening immature barrier estuary in southeast Australia, initiated a series of major and ongoing changes. Integration of diverse data sets showed an immediate lowering of the lake's mean water level, an increase in tidal range and ongoing divergence of tidal planes beyond the influence of sea level rise. Within a decade, these hydraulic changes were followed by rapid expansion of cover of the sole species of mangrove present, Avicennia marina . From two trees identified in aerial photos from the 1970s, there are now many thousands. Increase of cover appeared to be more rapid at lower than at higher tidal elevations, and recent field observations encountered colonisation at sites previously bereft. At reference estuaries of similar geomorphic classification, only modest gains in cover were seen. The hydraulic changes and upslope increase of mangroves at Lake Illawarra could offer a ‘fast‐forward proxy’ for rise in sea level by which to guide management and research in other estuaries of this type.
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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 | 0.000 | 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) | 0.001 | 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".