FSUGG Tags- Spawning migration patterns of the Atlantic Goliath Grouper
Bibliographic record
Abstract
This is the OBIS extraction of the FACT Network and Florida Fish and Wildlife Conservation Commission (FWC) FSUGG Tags- Spawning migration patterns of the Atlantic Goliath Grouper, 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.FSUGG). Abstract:Goliath Grouper (Epinephelus itajara), the largest reef fish in the western Atlantic, was once relatively common throughout Florida and the Caribbean. Due to overfishing and loss of juvenile habitat, it is considered critically endangered (Craig 2011). However, under total protection from harvest since 1990, population recovery has occurred in the southeastern US and spawning aggregations can now be found annually on the shelf off southeast and southwest Florida. Aggregations of 20 to over 100 individuals occur on specific sites, both artificial and natural sites, from late July through October. To investigate the nature of spawning migrations, we implanted 50 adult Goliath Grouper with ultrasonic transmitter tags (VEMCO 69 kHz V16-P coded transmitters) on known spawning sites in 2010 to 2013. Tagged fish were tracked as they moved through the FACT array of VEMCO VR2 and VR2W ultrasonic receivers. This study utilizes long-term tagging data of individual fish to aid in understanding the movement patterns of a large reef fish species of special conservation concern.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".