MétaCan
Menu
Back to cohort

Advances in Canadian wetland hydrology an biogeochemistry

2000· article· en· W2062252463 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHydrological Processes · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsMcMaster UniversityUniversity of Waterloo
Fundersnot available
KeywordsBiogeochemistryWetlandHydrology (agriculture)Environmental scienceCatchment hydrologyGeologyOceanographyEcology

Abstract

fetched live from OpenAlex

Wetlands comprise 14% of the land area of Canada. They have considerable impact on water storage and runoff, water quality, atmospheric exchanges of carbon, and important elements such as nitrogen. In less remote parts of Canada, wetlands have suffered from reclamation, exploitation, contamination and degradation, which have seriously impaired their ecological function. Public recognition of their environmental significance has highlighted the need for a better understanding of the hydrological processes, to better plan and manage wetland areas, restore degraded systems, and predict responses to global change. This paper reviews current hydrological research in all types of Canadian wetlands. The scope of hydrological processes discussed herein includes runoff, surface and groundwater flows, evaporation, microclimate, water balance, geochemical and solute transport phenomenon, carbon dynamics, isotope studies, exploitation and restoration. Field, laboratory and modelling studies are included. Copyright © 2000 John Wiley & Sons, Ltd.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.978

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)0.0230.000

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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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