Hard and soft-bottom macrozoobenthos in subtidal communities around an inactive harbour area (Gran Canaria, Canary Islands)
Bibliographic record
Abstract
Pressure by human activities is one of the main concerns in coastal ecosystems. Port areas harbour heavily modified benthic assemblages. However, there is scarce information about responses of diverse and patchy benthic communities in the context of marine harbour infrastructures (dykes, groins, etc.) which remain inactive after construction. We studied the benthic macrofaunal assemblages on rocky substrates (epifauna) and sandy seabeds (infauna) in a harbour of Gran Canada (Canary Islands, NE Altantic Ocean). We found that both patches of macroalgae (hard substrata) and Cymodocea nodosa seagrass meadows (soft substrata) maintained a highly diverse macrofauna in this inactive harbour. The abundance of individuals and species richness was higher in hard bottoms than in soft bottoms. Species richness showed no consistent changes between both seabeds. However, sampling stations located at higher distances and depths from the dock were proportionally the most diverse, suggesting a distance-effect independently of port infrastructure activity.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".