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Record W2901237560 · doi:10.1002/ird.2300

Applications of Geosynthetics to Irrigation, Drainage and Agriculture

2018· article· en· W2901237560 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

VenueIrrigation and Drainage · 2018
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsTerrafix Geosynthetics (Canada)
Fundersnot available
KeywordsGeosyntheticsDrainageIrrigationAgricultureRevetmentCivil engineeringEngineeringLeveeEarthworksEnvironmental scienceGeotechnical engineeringGeographyArchaeologyEcology

Abstract

fetched live from OpenAlex

Abstract Geosynthetics are man‐made products manufactured to meet specific functions in earthworks and geotechnical projects, such as dams, levees, canals, dikes and other structures commonly found in agricultural engineering. Thanks to the Memorandum of Understanding between the International Geosynthetics Society (IGS) and the International Commission on Irrigation and Drainage (ICID), collaborative efforts are being undertaken to generate awareness of geosynthetics in agriculture. In the Workshop on ‘Applications of geosynthetics to irrigation, drainage and agriculture’ held at the 23rd International Congress of the ICID in Mexico City on 8 October 2017, a group of delegates from the IGS contributed with a series of presentations introducing various functions and applications of geosynthetics. The authors gave an overview of how geosynthetic products are designed and tested to ensure they will fulfil their intended function, focusing on applications to irrigation, drainage and agriculture. A few key considerations were identified as being critical to ensure proper performance of geosynthetic materials, in geotechnical projects in general and in agriculture in particular. The present paper is intended to provide a summary of these presentations. © 2018 John Wiley & Sons, Ltd.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.363

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 studies0.0000.000
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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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