Summer Fish Community of the Coastal Northern Gulf of Mexico: Characterization of a Large‐Scale Trawl Survey
Bibliographic record
Abstract
Abstract Fish were collected by otter trawl at 367 sites from 119 coastal water bodies in the northern Gulf of Mexico, ranging from north‐central Florida to the Rio Grande, Texas, during the summer months of 1992‐1994. The fish were identified and enumerated, and tissue contaminants (in fillets), and external abnormalities (body, buccal, branchial, and ocular) were determined. Results were compared for sites east and west of the Mississippi River, within the Mississippi River, seven estuarine categories, and over 3 years. Approximately 31,000 individual fish were captured, representing 100 genera and 141 species. Thirteen species comprised 91% of the total abundance; abundances of 128 species were 1% or less. Pinfish Lagodon rhomboides, Atlantic croaker Micropogonias undulatus, Gulf menhaden Brevoortia patronus, and bay anchovy Anchoa mitchilli were the more dominant species. Fourteen species were collected from at least 10% of the sites; 85 species were captured at no more than 1% of the sites. Atlantic croakers and hardhead catfish Ariopsis felis were collected more frequently (>50% of sites). Indices of community structure from the full data set ranged as follows: 2.8 for the Shannon‐Wiener index, 0.90 for Simpson's index, and 0.56 for Pielou's evenness index. Chemical contaminants (predominantly total mercury and polychlorinated biphenyls [PCBs]) exceeded federal risk‐based consumption guidelines in 2.7% of fillets from four species. External abnormalities occurred on 17 species and approximately 1% of the total number of fish examined. Community structural properties varied temporally across years and spatially over estuarine categories and between areas east and west of the Mississippi River. Four distinct assemblages were identified by cluster analysis of species abundance. Cluster membership was associated with salinity, depth, dissolved oxygen, water clarity, and geographic area.
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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 | 0.001 | 0.001 |
| 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".