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Record W2986602855 · doi:10.33021/jmem.v4i2.827

Identifikasi Genangan Banjir yang Terjadi di Kecamatan Cikampek, Kabupaten Karawang

2019· article· en· W2986602855 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Mechanical Engineering and Mechatronics · 2019
Typearticle
Languageen
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsWiLAN (Canada)Encana (Canada)
Fundersnot available
KeywordsHydrology (agriculture)DrainageGeographyHuman settlementFlood mythAllotmentWater resource managementEnvironmental scienceGeologyArchaeologyEcology

Abstract

fetched live from OpenAlex

<p><em>Cikampek District is one of the sub-districts in the Karawang Regency located in the Southeast part of the Karawang Regency area. Cikampek sub-district is one of the areas that is growing rapidly due to the development of industrial allotment areas and urban settlements. This study aims to determine the flood inundation that must be addressed immediately. The research method was carried out by observation in the field and interviews with related parties. Based on the results of research in the District of Cikampek, there was inundation with an area of 274 Ha, inundation height of 10-40 cm, drainage time of 3 hours / day, and inundation frequency (9 times / year) due to overflow of secondary drainage channel namely Cikaranggelam River. There are three priority areas that the drainage system must immediately address, namely Desa Cikampek Selatan, Dawuan Tengah and Dawuan Barat.</em></p>

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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