Late Ordovician (Katian) linguliform microbrachiopods from north‐eastern Yunnan, South China
Bibliographic record
Abstract
Abstract Linguliform brachiopods are a minor but distinctive component of the Palaeozoic Evolutionary Fauna. However, there is no formal research on Katian (Late Ordovician) linguliform microbrachiopods in South China. Fossils from the ‘Pagoda’, ‘Linhsiang’ and Daduhe formations, Wanhe section of Yunnan Province, South China, provide a unique opportunity to bridge the gap. Here, we report and systematically describe, for the first time, a deep‐water Katian linguliform microbrachiopod association, including 13 species assigned to nine genera, namely Paterula cf. numerosa Popov, Hisingerella tenuis Holmer, Scaphelasma sp., Torynelasma? sp., Biernatia holmi Holmer, ?Biernatia maruiaensis Percival et al., Biernatia pseudoplana Percival et al., Biernatia wrighti Percival et al., Opsiconidion praecursor Popov et al., Opsiconidion sp., Eoconulus puteus Percival et al., Acanthambonia sp. and Nushbiella lillianae Holmer. To explore the composition and distribution model of global deep‐water micromorphic linguliforms in the Katian, a dataset of occurrence of 40 genera from five superfamilies and 10 localities in Baltica, Avalonia, Australian Gondwana, Boshchekul Island Arc and South China is established. Compared with those of other localities, the Chinese association is dominated by Acrotretoidea with no taxon of Discinoidea or Paterinoidea. The global dataset is analysed using non‐metric multidimensional scaling. The results indicate an endemic biogeographical pattern for the Katian linguliform microbrachiopods, which can be explained by oceanic circulation or environmental differences.
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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 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".