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Record W7015121044

The seabed maintenance through a jet-pump device: the case study of Rodi Garganico (South Italy)

2019· article· en· W7015121044 on OpenAlexfundno aff

Bibliographic record

VenueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Sediment Control
Canadian institutionsnot available
FundersU.S. Army Corps of EngineersMinistry of EnvironmentDepartment for International DevelopmentNatural Environment Research CouncilCanada Excellence Research Chairs, Government of CanadaBundesministerium für Bildung und ForschungTechnische Universiteit DelftJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyBureau de Recherches Géologiques et MinièresEuropean Commission
KeywordsDredgingSiltationSeabedOperabilityCurrent (fluid)
DOInot available

Abstract

fetched live from OpenAlex

Although the importance, sediment siltation represents a very critical barrier for the operability of the harbor of Rodi Garganico (Italy). Due to negative economic impact, in fact, traditional dredging results an unviable solution. For this purpose, an innovative solution, called the “ejector”, is proposed for the specific case. Based on several positive applications in Italy, in fact, many positive benefits are expected in addition to the maintenance of the basin depth. Therefore, after a brief outlook of the current conditions in the harbor of Rodi Garaganico, the paper gives some technical specifications regarding the technology and the preliminary considerations that were following for the plant design.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

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 communication0.0010.000
Open science0.0010.001
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.203
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

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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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Same venueArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)Same topicEnvironmental and Sediment ControlFrench-language works237,207