MétaCan
Menu
Back to cohort
Record W4386171035 · doi:10.1016/j.oneear.2023.08.004

Oxidation of commercial antioxidants is driving increasing atmospheric abundance of organophosphate esters: Implication for global regulation

2023· article· en· W4386171035 on OpenAlexafffund
Qifan Liu, Runzeng Liu, Xianming Zhang, Wenlong Li, Tom Harner, Amandeep Saini, Hanyang Liu, Fange Yue, Lixi Zeng, Ying Zhu, Changyue Xing, Li Li, Patrick K. H. Lee, Shengrui Tong, Weigang Wang, Maofa Ge, Jianjun Wang, Xiaoguo Wu, Cassandra Johannessen, John Liggio, Shao‐Meng Li, Hayley Hung, Zhouqing Xie, Scott A. Mabury, Jonathan P. D. Abbatt

Bibliographic record

VenueOne Earth · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsConcordia UniversityEnvironment and Climate Change CanadaUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaNatural Science Foundation of Shandong ProvinceNational Natural Science Foundation of ChinaGovernment of CanadaEnvironment and Climate Change CanadaChinese Arctic and Antarctic AdministrationCrown-Indigenous Relations and Northern Affairs CanadaAlfred P. Sloan Foundation
KeywordsOrganophosphateAbundance (ecology)ChemistryEnvironmental chemistryEnvironmental sciencePesticideBiologyEcology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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

Citations64
Published2023
Admission routes2
Has abstractno

Explore more

Same venueOne EarthSame topicToxic Organic Pollutants ImpactFrench-language works237,207