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Record W4389855109 · doi:10.5030/jcigsjournal.38.193

SUPPORT PERFORMANCE CONFIRMATION TEST FOR COLUMNS IN PHOTOVOLTAIC BASE MAT CONSTRUCTION METHOD

2023· article· en· W4389855109 on OpenAlexaff
Hironobu Sekishita, Yasuhiro Nabeshima, Daigo ISHII, Yoshinori Yokoyama, Yasushi Kawagishi, Masao Katô, Kinya Tsugawa, Ryusei Kabasawa, Masaki Takeyama, Shingo Nakashita, Toru Sekiyama

Bibliographic record

VenueGeosynthetics Engineering Journal · 2023
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsPhotovoltaic systemBase (topology)Test (biology)Structural engineeringEnvironmental scienceEngineeringMathematicsGeologyElectrical engineeringMathematical analysis

Abstract

fetched live from OpenAlex

本研究の目的は太陽光発電ベースマット工法における支柱の支持性能を実物大実験により確認し,設計に反映させることである.太陽光発電ベースマット工法(以下PVベースマット工法)とは法面へ太陽光発電システムを設置する場合に従来使用している杭基礎やコンクリートブロック基礎の代わりに採用する工法である.PVベースマット工法は布製型枠という化学繊維の袋体にモルタルを注入することで太陽光発電システムの基礎を構築できるため,従来工法と比較して簡易に基礎を構築することが可能になる.実験により支柱への静的載荷試験による耐荷重の設定を確認することができた.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.011
GPT teacher head0.217
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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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