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Record W2386068925

Comprehensive Evaluation of Ecological Water Requirement of Baoji Reach of Weihe River

2014· article· en· W2386068925 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.

Bibliographic record

VenueYellow River · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsScience North
Fundersnot available
KeywordsEnvironmental scienceWater cycleDilutionHydrology (agriculture)Water qualityEcologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Based on historical observation data and recent experimental data of Linjiacun Hydrologic Station and Weijiabu Hydrologic Station,this paper calculated the ecological water requirements of Baoji reach of the Weihe River by using the improved Tennant method,the representative year method based on guidelines for assessment of water-draw and utilization in construction projects( IGAWDU) and the dualistic water cycle method individually. The results show that: a) with the improved Tennant method,the minimum standards of ecological water requirements at the three periods of April to June,July to October and November to the next March are 8. 8 m3/ s,17. 1 m3/ s and 6. 4 m3/ s,respectively; b) with the method of IGAWDU,the average annual ecological water requirement( IGAWDU-M) is 22. 8 m3/ s; the ecological water requirements of the high flow year,the normal year,the low flow year and the special dry year are 28. 5 m3/ s,22. 9 m3/ s,16. 1 m3/ s and 10. 2 m3/ s,respectively; c) with the dualistic water cycle method,the proportion of ecological water requirement is 46. 4% and the dilution ratio is 0. 29,which shows that neither water quantity nor quality can't achieve the standard.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.235
Teacher spread0.208 · 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