New name for the Jurassic dinoflagellate cyst species <i>Gonyaulacysta longicornis</i> (Deflandre 1938) Riding et al. 2022
Bibliographic record
Abstract
One of the taxonomic actions in a recent review of the Jurassic dinoflagellate cyst genus Gonyaulacysta, was the elevation of the subspecies Gonyaulacysta jurassica subsp. longicornis Deflandre, 1938 to species rank, as Gonyaulacysta longicornis (Deflandre, 1938) Riding et al., 2022. In doing so, the authors of this review inadvertently created an illegitimate junior homonym of Gonyaulacysta longicornis (Downie, 1957) Sarjeant, 1969. To remedy this situation, we propose the new name Gonyaulacysta nasuta as a substitute for Gonyaulacysta longicornis (Deflandre, 1938) Riding et al., 2022, thus preserving the integrity of this important index taxon for the late Callovian to middle Oxfordian (Middle–Late Jurassic) of the Northern Hemisphere.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".