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Record W4403666077 · doi:10.1007/s12542-024-00703-y

A new papionin molar (Primates, Cercopithecidae) from the Pliocene of Serbia

2024· article· en· W4403666077 on OpenAlexafffund
Predrag Radović, Zoran Marković, Sanja Alaburić, Mirjana Roksandić

Bibliographic record

VenuePaläontologische Zeitschrift · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of Winnipeg
FundersNatural Sciences and Engineering Research Council of CanadaScience Fund of the Republic of Serbia
KeywordsCercopithecidaeMolarPaleontologyGeologyGeographyBiologyZoology

Abstract

fetched live from OpenAlex

The fossil record of non-human primates in Serbia remains limited, with only one site—Ridjake (Riđake) in northwestern Serbia—yielding remains of fossil monkeys so far: two molars attributed to cf. Paradolichopithecus sp. discovered within a Late Pliocene assemblage. Adding to this sparse collection, we present a newly identified primate specimen from Ridjake: a well-preserved crown of a mandibular third molar (m3) designated NHMBEO 042503. The molar exhibits morphology typical of Papionini (excluding Theropithecus ) but larger dimensions than Macaca . Based solely on dental size, this new specimen could belong to either of the two Eurasian Plio-Pleistocene large-bodied papionin genera— Procynocephalus and Paradolichopithecus . However, since Procynocephalus fossils are found exclusively in South and East Asia, the new molar from Ridjake is assigned to cf. Paradolichopithecus sp. in this paper. While sexual dimorphism could explain the size difference between NHMBEO 042503 and the previously described m3 from Ridjake (NHMBEO 042502), the somewhat smaller size of the Ridjake molars compared to other Paradolichopithecus records suggests they might belong to an as-yet-unknown species within this genus. Further research is needed to test this hypothesis.

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: none
Teacher disagreement score0.680
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.234
Teacher spread0.216 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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