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Record W2063944635 · doi:10.1080/07011784.2014.1001439

The 2005 flood events in the Saskatchewan River Basin: Causes, assessment and damages

2015· article· en· W2063944635 on OpenAlexafffundvenueabout
Kevin Shook

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsUniversity of Saskatchewan
FundersCanada Research Chairs
KeywordsTributaryDamagesFlood mythSurface runoffStructural basinDrainage basinHydrology (agriculture)GeographyEnvironmental scienceArchaeologyGeologyCartographyGeomorphology

Abstract

fetched live from OpenAlex

In June 2005, the headwater tributaries of the Saskatchewan River Basin in the western Canadian province of Alberta were struck by four heavy rain events.Runoff from the rainfalls resulted in three floods which extended from Alberta through the provinces of Saskatchewan and Manitoba, causing at least four deaths and property damages of CAD $400 million.En juin 2005, les affluents situs dans la partie en amont du bassin versant de la rivire Saskatchewan dans l'ouest du Canada (plus spcifiquement en Alberta), ont reu de trs importantes quantits de pluie durant quatre vnements successifs.Le ruissellement caus par ces prcipitations est l'origine de trois crues, qui se sont produites en Alberta, en Saskatchewan et au Manitoba.Ces vnements ont caus au moins trois dcs et des dommages structurels valus 400 millions $CAD. Principal flood processesThe three flood events, and the initial priming event, were typical of large-scale high streamflows in Alberta in that they were caused by runoff from heavy rainfall

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations31
Published2015
Admission routes4
Has abstractyes

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