A new species of Haliclona (Flagellia) Van Soest, 2017 (Porifera, Demospongiae, Heteroscleromorpha) from the Gulf of St. Lawrence, Canada
Bibliographic record
Abstract
Haliclona (Flagellia) Van Soest, 2017 is a recently erected subgenus characterized by the presence of flagellosigma microscleres which are often distinctive between species (Van Soest 2017). Members of the taxon also have normal sigmas within a confused skeleton formed by oxea megascleres. The subgenus has a global distribution and contains 10 species (Van Soest et al. 2019). A large and abundant new species collected throughout the southern Gulf of St. Lawrence is characterized by thick and abnormally shaped flagellosigmas, two sizes of oxea, and abundant normal sigmas. Lambe (1896) previously reported Haliclona (Flagellia) porosa (Fristedt, 1887) from the Gulf of St. Lawrence, and the species is known to occur in nearby Arctic waters (Fristedt 1887; Lundbeck 1902; Hentschel 1916; Koltun 1959, 1966; Van Soest 2017; Dinn Leys 2018). However, H. (F.) porosa is characterized by the presence of very few normal sigmas and no thick flagellosigmas. Type specimens were preserved in 95% ethanol and were deposited in the Atlantic Reference Centre (ARC) in St. Andrews, New Brunswick, Canada. The taxonomic identification was performed through spicule analysis using light and scanning electron microscopy, following methods described by Dinn et al. (2020).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".