Small-bodied Fishes of Tar Creek and Other Small Streams in Ottawa County, Oklahoma
Bibliographic record
Abstract
Fishes of small streams in Ottawa County, Oklahoma, were collected by seine from July 2004 through October 2005 to provide base-line data on species occurrences in Tar Creek and surrounding watersheds. Nine sites within the study area have been receiving mine drainage contaminated with iron, zinc, lead and cadmium for at least three decades following the cessation of mining in the Tri-State Mining District of Oklahoma, Kansas, and Missouri in the 1960s. No such known contamination exists for the remaining sampling sites which serve as “controls” for any future changes in fishes at the polluted sites. Fiftythree collections were made at 10 sites throughout Tar Creek watershed, and 26 collections were made on surrounding watersheds at sites on Coal, Cow, Little Elm, Hudson, Mud, and Four-mile creeks in Ottawa County. A total of 34 species and hybrid sunfish representing ten families were collected. Faunal composition of impacted streams was compared with non-impacted streams. Species richness, corrected for habitat size, was significantly lower in impacted sites than in non-impacted sites. As planned treatment systems for the mine drainage are implemented, the information in this report will allow evaluation of any changes in fish communities. © 2006 Oklahoma Academy of Science.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".