BTSNP Tags and Array- Natal philopatry in blacktip sharks
Bibliographic record
Abstract
This is the OBIS extraction of the FACT Network and Havenworth Coastal Conservation (Havenworth) BTSNP Tags and Array- Natal philopatry in blacktip sharks, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=FACT.BTSNP). Abstract:The blacktip shark (Carcharhinus limbatus) is an economically important species, the dominant species in the directed large coastal shark fishery in the Gulf of Mexico. Nursery areas along the Gulf coast of Florida represent essential habitat for young-of-the-year and juvenile animals. In Terra Ceia Bay, pups are born in May through July each year. They show strong site fidelity to the northeast end of the bay during the first few months of life, then depart the nursery in fall, migrating to areas as far south as Florida Bay. Based on recaptures of conventionally-tagged animals, at least some of these animals return to Terra Ceia Bay the following spring. This project aims to further refine our understanding of long-term patterns of nursery habitat use in this species through acoustic telemetry. Specifically, it seeks to: 1) determine the degree of philopatry to this nursery area and 2) determine if this behavior is consistent across different nursery areas by examining patterns of habitat usage in a newly discovered nursery area in nearby Sarasota Bay.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".