Redescription of two Hexactinosida (Porifera, Hexactinellida) from the southwestern Atlantic, collected by Programme REVIZEE<br />
Bibliographic record
Abstract
In this study, two species of hexactinosid sponges from the bathyal southwestern Atlantic (Hexactinosida, Hexactinellida), collected by Programme REVIZEE—Central Score, are redescribed and illustrated by scanning electron microscopy (SEM), viz., Aphrocallistes beatrix Gray, 1858 and Dactylocalyx pumiceus Stutchbury, 1841. This is the first redescription of A. beatrix based on extensive SEM use. Fourteen species of hexactinellid sponges are now recorded from the southwestern Atlantic, Aphrocallistes beatrix, Caulocalyx tener Schulze, 1886, Caulophacus abyssalis Tabachnick, 1990, Dactylocalyx pumiceus, Euplectella suberea Thomson, 1876, Holascus stellatus Schulze, 1887, Hyalonema schmidti Schulze, 1899, Hyalonema tenue Schulze, 1886, Malacosaccus heteropinularia Tabachnick, 1990, Pheronema carpenteri (Thomson, 1869), Rossella antarctica Carter, 1872, R. nuda Topsent, 1901, R. inermis (Topsent, 1916) and R. racovitzae Topsent, 1901.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".