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Record W2049208644 · doi:10.1021/ed077p1611

An Undergraduate Experiment for the Measurement of Trace Metals in Core Sediments by ICP-AES and GFAAS

2000· article· en· W2049208644 on OpenAlexaff
Scott A. Mabury, Dan Mathers, David Ellis, Patrick Lee, Adam M. Marsella, Marianne S. V. Douglas

Bibliographic record

VenueJournal of Chemical Education · 2000
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCadmiumEnvironmental chemistryManganeseMicrowave digestionEnvironmental scienceChemistryMineralogyGeologyChromatographyDetection limit

Abstract

fetched live from OpenAlex

In this experiment students applied advanced instrumental methods of metals analysis to investigate the imprint of anthropogenic activities as observed in aquatic sediments. Sediments from a mid-latitude varved meromictic lake were collected using a cold finger corer and were sectioned by year; the core covered the time frame 1300 to the present. Metals were extracted by microwave digestion and analyzed by ICP-AES and GFAAS. Quality control spike and recovery, replicate, and blank analyses were all within acceptable limits. Target metal concentrations remained relatively constant until the late 19th century, when lead, manganese, and cadmium increased significantly. The concentrations of these metals then undergo a marked reduction toward the end of the 20th century, indicating a possible change in anthropogenic behavior.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.049
GPT teacher head0.358
Teacher spread0.308 · 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

Citations9
Published2000
Admission routes1
Has abstractyes

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