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Record W3200346512 · doi:10.2208/jscejge.77.3_314

FIELD TECHNIQUE FOR MEASURING FIELD SATURATED HYDRAULIC CONDUCTIVITY BY USING SIMPLIFIED FALLING HEAD PERMEABILITY TEST BASED ON GUELPH PRESSURE INFILTROMETER

2021· article· en· W3200346512 on OpenAlexaboutno aff
Yuji Takeshita, Manami MIKI, Yui IKEDA

Bibliographic record

VenueJournal of Japan Society of Civil Engineers Ser C (Geosphere Engineering) · 2021
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
Fundersnot available
KeywordsInfiltrometerHydraulic conductivityPermeability (electromagnetism)Geotechnical engineeringFalling (accident)Head (geology)MechanicsMaterials scienceGeologySoil scienceChemistryPhysicsGeomorphology

Abstract

fetched live from OpenAlex

不飽和地盤の現場飽和透水係数を原位置で測定する定水位透水試験方法であるプレッシャーインフィルトロメータ(GPI)法を応用した簡易な原位置変水位透水試験を実施した.この透水試験方法では,地表面に貫入した単一の浸潤用円筒内から変水位により浸潤を行い,浸潤用円筒内水位の低下挙動を小型自記水位計により自動計測して,選定した任意の浸潤水位において算出した浸潤流量を用いて現場飽和透水係数を測定する.本文では,現場飽和透水係数の算定精度を支配する変水位透水過程における浸潤水位と浸潤流量の算定方法および2段階の浸潤水位を用いたGPI法への適用性について検討した.提案する簡易型変水位透水試験は,砂丘砂地盤および一級河川堤防のり面において実施し,GPI法との比較を行うことで,その有用性と妥当性を検証した.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2021
Admission routes1
Has abstractyes

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