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Record W2984497871 · doi:10.1016/j.crpv.2008.02.006

Comparing rates of recrystallisation and the potential for preservation of biomolecules from the distribution of trace elements in fossil bones

2008· article· en· W2984497871 on OpenAlexaff
Clive N. Trueman, Martin R. Palmer, Judith Field, Karen Privat, N. Ludgate, Valérie Chavagnac, David A. Eberth, Richard L. Cifelli, Raymond R. Rogers

Bibliographic record

VenueComptes Rendus Palevol · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsRoyal Tyrrell Museum
Fundersnot available
KeywordsTrace fossilTRACE (psycholinguistics)GeologyPaleontologyEarth science

Abstract

fetched live from OpenAlex

Preservation of intact macromolecules and geochemical signals in fossil bones is mainly controlled by the extent of post-mortem interaction between bones and sediment pore waters. Trace elements such as lanthanum are added to bone post-mortem from pore waters, and where uptake occurs via a simple process of diffusion and adsorption, the elemental distribution can be used to assess the relative extent of bone-pore water interaction and rate of recrystallisation. Distribution profiles can be parameterised effectively using simple exponential equations, and the extent of bone–water interaction compared within and between sites. In this study, the distribution of lanthanum within bone was determined by laser ablation ICP–MS in 60 archaeological and fossil bones from Pleistocene and Cretaceous sites. The rates of recrystallisation and potential for preservation of intact biogeochemical signals vary significantly within and between sites. Elemental profiles within fossil bones hold promise as a screening technique to prospect for intact biomolecules and as a taphonomic tool. La conservation de macromolécules intactes ou de signaux d’éléments ou de leurs isotopes dans l’os fossile est contrôlée par l’étendue des interactions postmortem entre l’os et l’eau interstitielle dans la roche les contenant. Des éléments traces, comme le lanthane (La), sont ajoutés à l’os postmortem depuis les eaux interstitielles, et quand leur capture par l’os suit un simple processus de diffusion et d’adsorption, on peut utiliser la distribution de ces éléments pour évaluer l’importance des interactions entre l’os et l’eau interstitielle, relativement au taux de recristallisation. Des profils de répartition peuvent être effectivement paramétrés en utilisant de simples équations exponentielles et permettent de comparer l’importance des interactions os/eaux interstitielles dans un même site et entre sites. La répartition du lanthane dans l’os a été déterminée par ablation laser ICPM–MS dans 60 sites archéologiques et fossilifères, du Pléistocène et du Crétacé. Les taux de recristallisation et le potentiel pour la conservation de signaux biogéochimiques intacts varient de façon significative entre sites et au sein d’un même site. Les profils élémentaires dans l’os fossile sont prometteurs en tant que technique d’échantillonnage pour évaluer la présence possible de biomolécules intactes et comme outil en taphonomie.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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

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 head0.059
GPT teacher head0.306
Teacher spread0.246 · 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

Citations86
Published2008
Admission routes1
Has abstractyes

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