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Record W2351364442

Analysis of contaminated pollution of organo-chlorine pesticides in soils based on gray correlative analysis

2011· article· en· W2351364442 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 Natural Science of Heilongjiang University · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Quality and Pollution
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsEstuaryPollutionEnvironmental scienceContaminationPesticideLindaneEnvironmental chemistryWater pollutionDrainage basinWater resource managementGeographyEcologyChemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

The gray correlative analysis assessment method is used to evaluate pollution levels of HCH isomer α-HCH,β-HCH,γ-HCH,δ-HCH and DDTs and their metabolites p,p′-DDT,o,p′-DDT,p,p′-DDE,p,p′-DDD in soil of the Haihe River Basin and Haihe estuary area as a research area.The results show that the pollution levels of HCHs and DDTs are in the order from high to low: Dongli DistrictTanggu District Estuary South DistrictTianjing CityExorheic of Haihe RiverEstuary North District.The results of the assessment are important for contaminated site management and pollution control and remedy of HCH and DDT in Haihe River asin and Haihe Estuary Barea,and useful to the decision makers in the Environmental Protection Departments.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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