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Record W6911317289 · doi:10.5281/zenodo.10986956

Teleostei Muller 1845

2019· article· en· W6911317289 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
Fundersnot available
KeywordsTeleosteiArcticCenozoicPaleogeneFish <Actinopterygii>Dentition

Abstract

fetched live from OpenAlex

Teleostei gen. et sp. indet. Fig. 24. Material.—NRM-PZ P16479a–e, one complete and one fragmented tooth and three partly fragmented vertebra from the upper Paleocene of Zachariassendalen, Spitsbergen, Svalbard. Description.—Complete tooth shows translucent cap at apex. Both teeth small, ~ 1 mm and 2 mm; strongly posteriorly recurved and laterally compressed. Outer surfaces bear very fine longitudinal striations. Both teeth with expanded area of spongy bone at base that marks jaw attachment. Vertebra small, similarly-sized to teeth. Remarks.—The teleost material reported here represents the second finding of actinopterygian fish from the Cenozoic of Spitsbergen. The first actinopterygian was described as a fossil bowfin, Pseudamia heintzi, by Lehman (1951). According to Thomsen (2013), the specimen was discovered at Cap Dresselhuys, implying that it derives from the late Paleocene (Thanetian) Grumantbyen Formation (Dallmann 2015), which overlies the Basilika Formation. Both bowfin (Amia sp.) and scombroid teleost teeth assigned to Eutrichiurides have been described from the Eocene Eureka Sound Formation on Banks Island in the Canadian High Arctic by Gottfried and Eberle (2018). In addition to its presence in the High Arctic, scombroid teeth are known from many Paleogene localities in Europe, Africa, India, and the USA (Gottfried and Eberle 2018).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0730.033

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 head0.014
GPT teacher head0.212
Teacher spread0.197 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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