State of research of the Osteichthyes fish related to coral reefs in the Honduran Caribbean with catalogued records
Bibliographic record
Abstract
Research on Honduran coral reef fish has been isolated and scattered. A list of fish species related to coral reefs was consolidated to establish a compiled database with updated taxonomy. The study was conducted between October 2017 and December 2018. Using primary and secondary sources, all potential species in the Western Atlantic were considered, and their actual presence was confirmed using catalogued records published in peer-reviewed journals that included Honduras. In addition, the specimens kept in the Museum of Natural History of Universidad Nacional Autónoma de Honduras were added. Once the list was consolidated, the taxonomic status of each species was updated based on recent literature. A total of 159 species and 76 genera were registered in 32 families. The family with the most species was Labrisomidae with 27 species (17%). Five families had more than five 5 genera registered, while four 4 were represented by more than 16 species, which is equivalent to 42% genera and 51% species. Gobiidae was represented by 10 genera (13%) and 21 species (13%), of which two 2 were endemic: Tigrigobius rubrigenis and Elacatinus lobeli. In turn, Grammatidae was represented by one endemic species Lipogramma idabeli (1.8%). The species Diodon holocanthus and Sphoeroides testudineus represent the first catalogued records for Honduras.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| 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".