Movement patterns of the invasive signal crayfish determined by PIT telemetry
Bibliographic record
Abstract
In one of the first field studies to utilize passive integrated transponder (PIT) telemetry to study space use of invertebrates, movement of the introduced signal crayfish ( Pacifastacus leniusculus (Dana, 1852)) was examined intensively in a high-density population in an upland river in northern England from 18 August to 6 September 2004. Crayfish (carapace length 21.0–67.3 mm) were tracked with externally attached PIT tags, enabling remote detection of tagged crayfish by the use of a portable detector. Of the 406 crayfish tagged, 356 (87.7%) were subsequently relocated at least once. The majority of crayfish remained close to the release location (median distance between release and final locations 36.3 m; 25th percentile 10.4 m, 75th percentile 91.6 m). However, movements of up to 345 m were recorded. There was no relationship between sex or size and distance moved. A small waterfall, upstream of the release location, appeared to form a barrier preventing movements of tagged crayfish upstream past it during the study period. PIT telemetry can provide an effective method for detailed recording of space use compared with standard mark–recapture or radiotelemetry methods.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".