Mud-shrimps of the genus Axianassa Schmitt, 1924 from Panama, with description of two new species (Decapoda: Gebiidea: Laomediidae)
Bibliographic record
Abstract
Six species of the mud-shrimp genus Axianassa Schmitt, 1924, herein placed in the Laomediidae, are reported from Panama, five species from the Pacific coast and one species from the Caribbean coast. Axianassa mineri Boone, 1931 and A. canalis Kensley & Heard, 1990, both originally described from the Pacific coast of Panama, are reported from new Panamanian localities, with the former species also reported from a new locality on the Pacific coast of Mexico. Additional illustrations complete the original descriptions of these two species. The recently described A. darrylfelderi Anker & Lazarus, 2015, previously known only from the type material from the Pacific coast of Colombia, is reported for the first time from Panama, whereas A. jamaicensis Kensley & Heard, 1990, previously known only from Jamaica, is reported for the first time from the Caribbean coast of Panama. Two species, viz. A. linda sp. nov. and A. christyi sp. nov., are described as new based on material from the Azuero Peninsula and the Las Perlas Archipelago, on the Pacific coast of Panama. Colour photographs are provided for all six species. A revised key to the 13 presently known species of Axianassa is provided, in addition to some taxonomic remarks on the genus and a justification for its placement in the family Laomediidae rather than Axianassidae.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".