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Record W7106519862 · doi:10.5281/zenodo.17704058

Canada1Water stream-network analysis for national scale hydrological modelling

2022· article· enc· W7106519862 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageenc
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsWatershedSTREAMSHydrological modellingScale (ratio)GroundwaterHydrology (agriculture)Resource (disambiguation)Climate model

Abstract

fetched live from OpenAlex

Canada1Water (C1W) is constructing physically-based fully-integrated groundwater – surface water (GW – SW) models with complete coverage of continental Canada. These state-of-the-art models will be coupled with regional climate modeling to simulate an ensemble of climate change scenarios in major drainage regions to better understand GW – SW resource sustainability. This modelling requires a continuous ordered stream network; however, such a dataset does not exist. Stream order assignment facilitates efficient drainage network refinement through the removal of low order streams to satisfy C1W model resolution constraints. Thus, C1W has assigned Strahler stream order to the National Hydrological Network (NHN) using a standardized methodology that ensures stream order continuity across watershed and Provincial-Territorial boundaries.

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.002

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 head0.036
GPT teacher head0.225
Teacher spread0.189 · 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 designSimulation or modeling
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

Citations0
Published2022
Admission routes2
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicHydrology and Watershed Management Studies→French-language works237,207→