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Detection of Amitriptyline, Citalopram, and Metabolites in Porcine Bones Following Extended Outdoor Decomposition*

2011· article· en· W1688480170 on OpenAlexaff
Nathalie A. Desrosiers, James H. Watterson, Dorothy E. Dean, John F. Wyman

Bibliographic record

VenueJournal of Forensic Sciences · 2011
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicForensic Toxicology and Drug Analysis
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMetaboliteChromatographyChemistryAmitriptylineCitalopramPharmacologyDrugAnalyteGas chromatographyMass spectrometryMedicineBiochemistrySerotonin

Abstract

fetched live from OpenAlex

Skeletal remains of a domestic pig were assessed for relative distribution of amitriptyline, citalopram, and metabolites. Following acute exposure and outdoor decomposition for 2 years, drugs and metabolites were analyzed in 13 different bones. Bones were pulverized following a simple wash procedure, and drugs were extracted by passive incubation in methanol, followed by solid-phase extraction. Samples were analyzed by ultra-high performance liquid chromatography (UHPLC) and confirmed with gas chromatography-mass spectrometry. The Kruskall-Wallis test showed that bone type was a main effect with respect to drug level for all analytes, with levels varying from 33- to 166-fold. Ratios of levels of drug to that of the corresponding metabolite were less variable, varying roughly one- to eightfold. This suggests limitations in the interpretive value of drug measurements in bone and that relative levels of drug and metabolites should be further investigated in terms of forensic value.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.404
Teacher spread0.321 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations31
Published2011
Admission routes1
Has abstractyes

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