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Record W2618646979 · doi:10.5539/jgg.v9n2p24

The Future of Freshwater in Shatt Al- Arab River (Southern Iraq)

2017· article· en· W2618646979 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Geography and Geology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
FundersUniversity of Basrah
KeywordsTributaryHydrology (agriculture)Environmental scienceWater qualitySeawaterSaltwater intrusionDrainage basinCurrent (fluid)PopulationOceanographyGeographyGroundwaterGeologyEcologyAquifer

Abstract

fetched live from OpenAlex

This study uses data from the current rate of population growth, agricultural development and effects of climate change to estimate the future of water demand and the amount of available water in the Shatt Al-Arab River basin. The Shatt Al-Arab River will be facing a freshwater deficit as a result of the decrease of water received from its tributaries. Currently, the river receives freshwater from the Tigris only, as a result to dam construction projects on the tributaries remaining. In 2040, it is expected that the freshwater from the Tigris will not be available to the Shatt Al-Arab; therefore the intrusion of seawater into the river will increase. This may cause a gradual change of water quality in the river from freshwater to seawater. When the Shatt Al-Arab River loses freshwater from all its tributaries the seawater will progress further from Persian Gulf towards the upstream.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.008
GPT teacher head0.254
Teacher spread0.246 · 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