MétaCan
Menu
Back to cohort
Record W4387959829 · doi:10.47970/jttt.v1i2.484

Kajian Kegempaan Lanjutan Wilayah Palu, dan Aplikasinya Pada Perencanaan Infrastruktur Kelautan

2023· article· id· W4387959829 on OpenAlexaff
Adecar Nugroho, Yulisa Sariska, Nurisa Nurisa, Titia Yudha Sarah Puspita

Bibliographic record

VenueJurnal Teknik & Teknologi Terapan · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsForestryGeographyArt

Abstract

fetched live from OpenAlex

Peristiwa seismik pada akhir September 2018 yang memicu tsunami menyebabkan kerusakan besar di tiga pelabuhan di Sulawesi Tengah, dimana pelabuhan pelabuhan tersebut memegang peranan penting bagi aktifitas ekonomi daerah. Saat ini pelabuhan pelabuhan tersebut tetap beroperasi walaupun dengan keadaan yang kurang layak. Adapun setelah kejadian tersebut, Pemerintah mengeluarkan Peta Zona Rawan Bencana yang mengindikasikan bahwa daerah tersebut dikategorikan sebagai Zona terlarang (untuk kegiatan konstruksi). Hal ini tentunya berdampak pada kegiatan perencanaan rehabilitasi dan pengembangan daerah tersebut pada umumnya, dan rehabilitasi dan pengembangan infrastruktur kelautan pada khususnya. Dengan pemahaman kondisi setempat dimana daerah tersebut berada dalam jarak yang sangat dekat dengan sesar aktif, maka tim penulis melakukan study lanjutan untuk dapat memberikan rekomendasi beban gempa dan dampak yang harus di pertimbangkan dalam perencanaan infrastruktur. Dengan studi ini diharapkan dapat memberikan jalan tengah yang menjembatani antara perekonomian daerah, kesejahteraan masyarakat dan keselamatan dengan kaitannya terhadap pemenuhan regulasi atau acuan pemerintah.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.009

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 head0.017
GPT teacher head0.237
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Teknik & Teknologi TerapanSame topicCoastal Management and DevelopmentFrench-language works237,207