Bibliographic record
Abstract
The composition and distribution of the benthic macroinvertebrate community in a lagoon fish-pond system in the Bay of Cadiz. Spain, were studied by taking monthly samples at 4 sites during 1991. A total of 29 macroinvertebrate species, representing 16 orders. were identified. Gastropods, amphipods and chironomid larvae dominated the macrofauna in term of numbers of individuals, while in biomass terms gastropods, bivalves and polychaetes were dominant. The diversity (H') and evenness (J') indices of this community were low, ranging from 0.58 to 1.85 and 0.30 to 0.75 respectively (natural log base). Monthly total invertebrate density showed considerable seasonal variation, with a main peak in winter. Taking the most abundant species only, the densities of Hydrobja minoricensis, H. ventrosa, Microdeutopus gryllotalpa and Chironomus salinarius were positively related, and the density of Nereis diversicolor negatively related, to the biomass of benthic macroalgae (Ulva lactuca and Cladophora sp.). The density of C. salinarius was also positively related to the silt content in the sediment. Mean annual production varied between 13.3 g m-' yr-' ash-free dry weight (50.7 g m-2 yrr' dry weight) and 27.3 g m-' yr-' AFDW (122.0 g m-'yr-' DW) depending on the sampling site, yielding production/biomass ( P / B ) ratios between 1.08 and 1.37 yr-l. The annual production estimate for the whole system was 19.5 g m-' yr-' AFDW (66.6 g yr-' DW).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.988 | 0.990 |
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".