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New Occurrences of Fossil Macrocheira (Brachyura, Inachidae) from the North Eastern Pacific

2016· article· en· W2581437264 on OpenAlexaboutno aff
Torrey Nyborg, Brant Nyborg, Alessandro Garassino, Francisco J. Vega

Bibliographic record

VenuePaleontología mexicana. · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyOceanographyFisheryGeologyBiology

Abstract

fetched live from OpenAlex

New specimens of the fossil Macrocheira collected from Eocene to Miocene rocks of Canada and western United States increase the fossil record of the Inachidae (MacLeay, 1838). Macrocheira is represented by only one extant species, M. kaempferi, endemic to Japan and Taiwan. Two fossil species have previously been described from Washington State: M. longirostra (Schweitzer and Feldmann, 1999), from the Eocene Quimper Sandstone, and M. teglandi (Rathbun, 1926), from the Oligocene Makah Formation. Three new species are reported: M. jayi n. sp. from the late Eocene to Oligocene Hesquiat Formation of Vancouver Island, British Columbia, Canada; M. sullivani n. sp. from the late Eocene to early Oligocene Keasey Formation of Oregon State, U.S.A.; and M columbiaensis n. sp. from the early to middle Miocene Astoria Formation of Washington State, U.S.A. Several Macrocheira species have also been reported from the Miocene of Japan; however, their systematic position is tenuous and therefore they are referred to as Macrocheira sp. aff. M. kaempferi. With the description of three new species of Macrocheira, the number of fossil species is increased to five and the genus is now well established in the North Eastern Pacific from the Eocene to Miocene.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.235
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2016
Admission routes1
Has abstractyes

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