Molecular phylogeny of neodalyellid flatworms (Rhabdocoela), including three new species from British Columbia
Bibliographic record
Abstract
Rhabdocoel flatworms are abundant members of marine meiofaunal communities worldwide, contributing to a reservoir of biodiversity that thrives in sediments and on macroalgae. Yet, they are relatively understudied due to bias in meiofaunal collection techniques, time-intensive identification and a lack of taxonomic expertise. Here, sampling of intertidal habitats in British Columbia, Canada, was undertaken to enhance our understanding of rhabdocoel diversity in this region. Six species of neodalyellid rhabdocoel were discovered and characterized with DNA sequence and morphological data: Pogaina paranygulgus, Anoplodium hymanae, Baicalellia pusilla n. comb., B. solaris n. sp., B. daftpunka n. sp. and Tamanawas kalipis n. g., n. sp. The latter three species are new to science. A phylogenetic analysis of neodalyellid rhabdocoels, inferred from 18S and 28S ribosomal RNA gene sequences of 39 taxa, provided further insight into their interrelationships, trait evolution and systematics, including the recognition of a new genus, Tamanawas, and the suppression of Canetellia and Coronopharynx.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".