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Record W2091999236 · doi:10.1177/1091581809337630

Acute Oral and Inhalation Toxicities in Rats With Cadmium Telluride

2009· article· en· W2091999236 on OpenAlexaff
Joseph Zayed, Suzanne Philippe

Bibliographic record

VenueInternational Journal of Toxicology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicPhotovoltaic Systems and Sustainability
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCadmium telluride photovoltaicsCadmiumToxicologyChemistryMedicineEnvironmental chemistryPharmacologyMaterials scienceNanotechnologyBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Cadmium telluride (CdTe) thin film photovoltaic has become one of the leading technologies in the solar renewable energy market. Little is known about CdTe's toxicological profile and regulatory agencies usually apply cadmium (Cd) criteria as a best approximation. However, CdTe may have different toxicological properties. The goal of this study is to determine the median lethal concentration/dose of CdTe and to compare these values with those of Cd. Using a rat model, the method followed conforms to that described in the Organisation for Economic Co-operation and Development (OECD) guidelines and in the US Environmental Protection Agency (EPA) Health Effects Test Guidelines. The median lethal concentration of CdTe was established at 2.71 mg/L, showing a very low variability between genders. The median lethal dose was determined to be greater than 2000 mg/kg. These results clearly show that CdTe is less toxic than Cd.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.254
Teacher spread0.249 · 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 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

Citations49
Published2009
Admission routes1
Has abstractyes

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