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Eocene actinopterygian fishes from Pakistan, with the description of a new genus and species of channid (channiformes)

2008· article· en· W2194815134 on OpenAlexaff
Alison M. Murray, J. G. M. Thewissen

Bibliographic record

VenueJournal of Vertebrate Paleontology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGenusFaunaPerciformesActinopterygiiTeleosteiBiologyPaleontologyTaxonZoologyEcologyFish <Actinopterygii>GeographyFishery

Abstract

fetched live from OpenAlex

A collection of fossil material from Eocene deposits of Pakistan includes remains belonging to various taxa of actinopterygian fishes. The material comes from predominantly freshwater deposits, as well as a few marine deposits, in the Kuldana Formation in the Kala Chitta Hills, and from the Chorgali Formation near Gali Jaghir, in Attock District of Punjab Province. The Kuldana and Chorgali formations are early to middle Eocene in age. Isolated bones and teeth are identified as belonging to Eotrigonodontidae, Pycnodontiformes, Amiidae, Osteoglossidae, Siluriformes (cf. Bagridae), and Perciformes, as well as unidentified Teleostei. Some of the fossils are skulls of a channiform fish, which is here described as a new genus and species, Anchichanna kuldanensis. The faunal affinities of the Indo-Pakistan area during the Eocene are not clear, with previous studies suggesting it is faunally more similar to other parts of modern Asia, others as it representing a region of endemism, or even as being similar to northern Africa. The fish material reported here indicates a relationship between the Pakistan fauna in the Eocene with that of northern Africa.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.209
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2008
Admission routes1
Has abstractyes

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