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Record W2033220753 · doi:10.1080/10420940490444924

New Important Iguanodontid and Theropod Trackways of the Tracksite Obernkirchen in the Berriasian of NW Germany and Megatracksite Concept of Central Europe

2004· article· en· W2033220753 on OpenAlexaff
Cajus G. Diedrich

Bibliographic record

VenueIchnos/Ichnos : an international journal for plant and animal traces · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeologyOutcropCretaceousPaleontologySiliciclasticHorizonStructural basinSedimentary depositional environment

Abstract

fetched live from OpenAlex

This article examines the high-resolution track horizon stratigraphy at the outcrop Obernkirchen. Massive sandstones, products of marine sand bar and fluviatile environments are present at the tracksite. Recently two track beds were examined in the outcrop. One new track slab of the lower track bed is described exposing well-preserved quadrupedal iguanodontid tracktypes of Iguanodontipus CitationSarjeant, Delair, and Lockley, 1998, and bipedal theropod tracks Megalosauropus CitationKaever and Lapparent, 1974. The ichnogenus Iguanodontipus is discussed and the diagnosis extended. The tracksite Obernkirchen belongs to a megatracksite of the ancient coastline of the marginal marine Hercynic Basin of the Lower Cretaceous of Europe, including the four well-known sites Obernkirchen, Bad Rehburg, Münchehagen, and Bückeburg of Northwest Germany. Three different tracktypes of huge sauropods, theropods, and ornithopods are abundant at basal Lower Cretaceous siliciclastic coastlines in different regions in Spain, Portugal, England, Germany, and Switzerland. Dinosaur tracks are also present in carbonate platform environments of northern Italy and Istria.

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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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
Published2004
Admission routes1
Has abstractyes

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