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Record W3157003965 · doi:10.52722/pcej.v2i1.118

Tinjauan Perencanaan Spillway Bendungan Karalloe di Kabupaten Gowa

2020· article· id· W3157003965 on OpenAlexaff
Nataniel Yunus Alik, Benyamin Tanan, Melly Lukman

Bibliographic record

VenuePaulus Civil Engineering Journal · 2020
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSpillwayPhysicsHydrology (agriculture)ForestryGeographyGeotechnical engineeringEngineering

Abstract

fetched live from OpenAlex

Penelitian ini membahas tentang tinjauan perencanaan Spillway pada proyek Bendungan Karalloe. Spillway tersebut berfungsi untuk mengalirkan air yang berlebihan dari bendungan agar tidak terjadi overtopping pada bendungan kembali ke sungai. Digunakan tiga metode dalam perhitungan analisa curah hujan yaitu Metode Gumbel, Log Pearson Tipe III, dan Log Normal. Debit banjir rancangan dianalisis menggunakan Metode Hidrograf Satuan Sintesis Gama-I. Perencanaan Spillway direncanakan berdasarkan perbedaan debit banjir rancangan dan tipe mercu Spillway. Hasil penelitian ini didapatkan debit banjir rancangan sebesar 613,251 m3/det dan tinggi energi di atas mercu sebesar 2,902 m dengan menggunakan tipe mercu bulat.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.005

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 head0.021
GPT teacher head0.211
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 designNot applicable
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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