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Record W7083579840 · doi:10.1016/j.trd.2025.105013

Initial investigations of lead chromate road paint in the Midwest, United States

2025· article· en· W7083579840 on OpenAlexaff

Bibliographic record

VenueTransportation Research Part D Transport and Environment · 2025
Typearticle
Languageen
FieldChemistry
TopicCrystal structures of chemical compounds
Canadian institutionsHamilton Health Sciences
FundersUniversity of MiamiNational Science Foundation
KeywordsLead (geology)Chromate conversion coatingLead poisoning

Abstract

fetched live from OpenAlex

Lead chromate (PbCrO 4 ) lacks systematic monitoring data in road paint in the U.S.A. A survey of road paint across Ohio, Indiana, Illinois, Kentucky, and West Virginia was conducted to assess if PbCrO 4 exists in road paint in the modern environment. Scanning electron microscopy − energy dispersive spectroscopy (SEM-EDS) indicates Pb-Cr compounds occur in 30 samples among all states. Pb-Cr-bearing particles typically appear as nanometer to micrometer scale particles or aggregates. When present, dissolution textures in sampled road paints are indicative of potential metal release. XRD analysis on five representative paint samples confirms the presence of PbCrO 4 . Results indicate PbCrO 4 is a legacy pollutant in YRP in some regions of the Midwest U.S. PbCrO 4 may be transported and systematic geographic studies which integrate materials science research are warranted.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.522

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 studies0.0000.001
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 head0.039
GPT teacher head0.313
Teacher spread0.274 · 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 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
Published2025
Admission routes1
Has abstractyes

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