MétaCan
Menu
Back to cohort
Record W1522527308

15N Characterization of Landfill Nitrogen and its Application to Fingerprint Landfill-Leachate in Contaminated Groundwater and Surface water

2011· article· en· W1522527308 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

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2011
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsUniversity of WaterlooNuclear Waste Management Organization
Fundersnot available
KeywordsLeachateGroundwaterContaminationEnvironmental scienceEnvironmental chemistryAmmoniumSurface waterPlumeAmmoniacal nitrogenEnvironmental engineeringWaste managementChemistryGeologyEcologyGeotechnical engineeringWastewater
DOInot available

Abstract

fetched live from OpenAlex

A study was carried out to study the fate of ammonium in landfill-leachate contaminated groundwater and surface water. A characterization of the concentration and isotopic signature of ammonium in landfills was firstly done, and secondly a plume of contamination rich in ammonium was investigated to evaluate both the fate of the landfill ammonium concentration and its 15NH4 signature along the groundwater flow system and along the course of a creek, both impacted by the landfill leachate. The study showed that the isotopic signature of the landfill ammonium was conserved along the groundwater flowpath despite attenuation of ammonium along the flowpath, and therefore it can be used as a tool for fingerprinting landfill leachate contamination.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.667

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 communication0.0000.000
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 head0.017
GPT teacher head0.221
Teacher spread0.204 · 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