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Record W1996959054 · doi:10.3808/jei.200300006

Correlation between Global Emissions of α-hexachlorocyclohexane and Its Concentrations in the Arctic Air

2003· article· en· W1996959054 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Environmental Informatics · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsArcticEnvironmental scienceThe arcticHexachlorocyclohexaneCorrelation coefficientAtmospheric sciencesPositive correlationAir pollutionRange (aeronautics)ClimatologyChemistryStatisticsOceanographyMathematicsGeologyEcologyEngineering

Abstract

fetched live from OpenAlex

The mean air concentrations of α-hexachlorocyclohexane (HCH) in the Arctic responded quickly to the change of global α-HCH emissions from 1979 to the early 1990, and the air concentrations in the Arctic and global emissions of α-HCH are strongly correlated with correlation coefficient r 2 = 0.90. The quick response and the strong correlation indicate that atmospheric long-range transport was the dominant pathway for α-HCH to enter arctic air before early 1990s. An equation is derived from the least-square equation to calculate the annual concentrations of α-HCH in arctic air from global annual α-HCH emissions between 1945 and 1990, and the results indicate that a reasonable estimate of historical air concentration of α-HCH in the Arctic can be inferred from the global emission data.

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.

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 score0.023
Threshold uncertainty score0.574

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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