MétaCan
Menu
Back to cohort
Record W2091173650 · doi:10.3137/ao.400212

Hydrometeorological features of the Mackenzie basin climate system during the 1994/95 water year: A period of record Low Discharge

2002· article· en· W2091173650 on OpenAlexafffundvenue
Ronald E. Stewart, Normand Bussières, Zuohao Cao, Hye‐Khung Cho, David Hudak, Bohdan Kochtubajda, H. G. Leighton, P. Y. T. Louie, Murray Mackay, Philip Marsh, G. S. Strong, Kit K. Szeto, Jason E. Burford

Bibliographic record

VenueATMOSPHERE-OCEAN · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsMcGill UniversityUniversity of TorontoEnvironment and Climate Change Canada
FundersNatural Sciences and Engineering Research Council of CanadaNational Aeronautics and Space Administration
KeywordsHydrometeorologyWater dischargeStructural basinDrainage basinArcticPeriod (music)Hydrology (agriculture)Environmental sciencePhysical geographyClimatologyPrecipitationGeographyGeologyMeteorologyGeomorphologyOceanographyArtCartography

Abstract

fetched live from OpenAlex

The phenomena that occurred within and in the vicinity of the Mackenzie basin climate system during the 1994/95 water year are the focus of this study. This water year was characterized by a record low discharge and by a very early discharge into the Arctic Ocean. The low discharge arose because the efficiency with which the record‐low large‐scale moisture convergence over the Mackenzie basin was converted into discharge was also the lowest on record. This low efficiency occurred as a consequence of many atmospheric, surface and hydrological processes and feedbacks occurring during this period. The dry surface conditions that had developed just prior to the start of the water year were also a contributing factor. It is evident through the comprehensive examination of the overall climate system of this basin that many strongly coupled processes were occurring. Our models are able to account for some of these, but more research is needed to address a number of them.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.916
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.172
Teacher spread0.166 · 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 designObservational
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

Citations27
Published2002
Admission routes3
Has abstractyes

Explore more

Same venueATMOSPHERE-OCEANSame topicArctic and Antarctic ice dynamicsFrench-language works237,207