Spatial and Temporal Profiling of Macroalgal Groups on Rock Shore Platform: A Case Study from Dwarka
Bibliographic record
Abstract
Dwarka coast of Gujarat state from India has a stable shore platform. For this study, the shore platform was divided into three sections: i) northern, ii) central and iii) southern. Macroalgae growing on this shore platform were surveyed based on systematic random sampling for three months in sequence (April, June and October, 2013). On this site, total 36 taxa of macroalgae were identified through intensive fieldwork/ in situ survey based on Line Intercept Transect and Quadrate based methods. An overall analysis of the field data so far collected reveals that Chlorophyta dominates in the subtidal zone while Ochrophyta (Phaeophyta) dominates in rock pools near the cliff base as their preferred habitats. Rhodophyta showed a seasonal predominance during June. Iyengaria stellata was found in all the three months. The result obtained in this study provides an insight to understand the macroalgae habitat zonation on the shore platform and can be useful to support conservationof this study site as a rich macroalgae habitat of Indian Coast.
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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 | 0.001 | 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) | 0.000 | 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".