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Record W2377852422

CAMBRIAN CORRELATION BETWEEN NORTH AMERICA AND CHINA BASED ON TRILOBITE AND CONODONT FAUNAS

2003· article· en· W2377852422 on OpenAlexaboutno aff
Zhang Wen

Bibliographic record

VenueGushengwu xuebao · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsnot available
Fundersnot available
KeywordsTrilobitePaleontologyGeologyConodontBiostratigraphyLaurentiaSequence (biology)FaunaSeries (stratigraphy)Stage (stratigraphy)ChinaOrdovicianArchaeologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Division of the Cambrian System into lower, middle and upper series was first suggested by Walcott(1891a,b) and has been followed by all subsequent workers. A stage classification has been proposed only for the Upper Cambrian of North America (Howell and others, 1944), based on the formational succession of the Minnesota Wisconsin region (Lochman Balk, 1971). Recently 4 new series and 6 new stages names for the Cambrian of Laurentia have been established by American and Canadian authors (Ludvigsen and Westrop, 1985; Palmer, 1998). The classical Middle and Upper Cambrian sequence for China is in Shandong, where is the type area for the establishment of the Middle and Upper Cambrian stages of China (Lu and Dong, 1952; Lu, 1962). Because the Lower Cambrian deposits in Shandong is incomplete,stage subdivisions have been proposed with those of eastern Yunnan in the Lower Cambrian (Lu, 1941,1962). In the first synthesis of North American and Chinese Cambrian biostratigraphy (Howell et al. ,1944; Lu, 1962), much of the present biostratigraphic framework on both sides of the Pacific was established. During the last 50 years, many publications concerning Cambrian trilobite faunas, biostratigraphic studies as well as ecological analysis of Cambrian trilobite distribution based on tectonic setting by both American and Chinese palaeontologists, have increased our knowledge and understanding of the Cambrian biostratigraphic correlation between North America and China (Chang and Jell, 1987; Jegorova et al., 1963;Kurtz, 1981; Lochman Balk and Wilson, 1958; Lochman Balk,1970,1974;Lu et al., 1974;Nogami, 1966; Palmer, 1965,1966,1971,1977,1981,1982;Palmer and Halley,1979;Palmer and Peel, 1979; Robison, 1976; Saito, 1933, 1934;Shergold and Nicoll, 1992;Shergold, 1993;Sundberg and McCollum, 1997). Based on these more recent palaeontological studies, it now seems possible to improve Cambrian correlation between China and North America made by different authors since 1937 (Endo, In Endo and Resser, 1937; Howell, 1947; Chang, 1957, 1986; Lu, 1962; Shergold, Laurie and Sun, 1990; Shergold, 1997; Peng, 1992).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.545

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)0.0000.000

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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2003
Admission routes1
Has abstractyes

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