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Record W3094299053 · doi:10.32672/jse.v5i4.2318

Identifikasi Penentuan Skala Prioritas Penanganan Genangan Atau Banjir Di Kecamatan Karawang Barat

2020· article· en· W3094299053 on OpenAlexaff
Trisha Ajeng Larasaty, M. Candra Nugraha, Etih Hartati

Bibliographic record

VenueJurnal Serambi Engineering · 2020
Typearticle
Languageen
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsFlood mythHydrology (agriculture)GeographyRiver floodFlooding (psychology)Environmental scienceGeology

Abstract

fetched live from OpenAlex

West Karawang District is a center of local activities with a service scope the whole Karawang Regional with most populous region by 142.509 persons. Based on Karawang Regional Spatial Plans Year 2011 – 2031, West Karawang Sub-district is a flooded vulnerable area when rain season. That area is along the Citarum River stream with. Priority scale determination of flood is done with comparison method of the existing flood condition with the parameters in Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat No.12 Tahun 2014 tentang Penyelenggaraan Sistem Drainase Perkotaan. There were 13 flood points in West Karawang District with the highest priority scale, Tanjungpura Sub-District. In Tanjungpura Sub-District, there are 3 flood points with a height of 50-30 cm, 1 Ha of flood area, and the length of flood lasts for 10 hours. The puddle is located in a densely populated residential area which causes a lot of losses to residents.

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)0.000
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 score0.019
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.002

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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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