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Record W2365816941

Study on the Fossil Woods Found in Xinchang, Zhejiang Province, China

2002· article· en· W2365816941 on OpenAlexaboutno aff
Duan Shu

Bibliographic record

VenueChinese Bulletin of Botany · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsFlora (microbiology)CretaceousChinaGeographySubtropicsPhytogeographyEcologyPaleontologyGeologyArchaeologyBiologyTaxon
DOInot available

Abstract

fetched live from OpenAlex

A new species of fossil wood Araucarioxylon xinchangense Duan sp.nov, was found in Xinchang, Zhejiang province, SE China and described in this paper. This species is identified from nearly twenty specimens from Jingling, Jingping and Suqin, west part of Xinchang, (nearly 25km x 2km ). Xinchang County belongs to Shaoxing City. The strata of bearing fossil woods are Guantou Formation, which belongs to the Early Cretaceous in age. The authors described and discussed the characteristics of the new species. Interpret about the surroundings of the ancient forest at the Early Cretaceous in SE China, and how they could form the fossil woods in this area. We knew some fossil plant leaves from Suqin, identified some species of Pseudofrenelopsis and Pagiophyllum on the characteristics of the cuticular structure by Zhou and Cao. According to Seward (1904) Pagiophyllum may be related to Araucariaceae, therefore these fossil leaves may belong to the fossil woods. In the Early Cretaceous there were four plant floras: Siberia_Canadian Flora; European_Chinese Flora; Tropical and Australia Flora. In our country, NE China to Beijing area belong to the Siberia_Canadian Flora, From Shandong, SE China to Tibet area belong to the European_Chinese Flora. Many fossil plants were found in the same location with the fossil woods, therefore it could be made certain that Xinchang was in the European_Chinese Flora at that time. The climate was hot and somewhat dry, belonged to the subtropical to tropical zone.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.026
GPT teacher head0.200
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2002
Admission routes1
Has abstractyes

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