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Record W2956048521 · doi:10.29122/jai.v7i1.2406

PENGEMBANGAN DATABASE PENGELOLAAN SUMBER DAYA AIR UNTUK WILAYAH KABUPATEN PANDEGLANG

2018· article· en· W2956048521 on OpenAlexaff
Satmoko Yudo

Bibliographic record

VenueJurnal Air Indonesia · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsWater resourcesWater resource managementIrrigationGovernment (linguistics)Sustainable managementResource (disambiguation)Unit (ring theory)SwampEnvironmental scienceEnvironmental resource managementBusinessSustainabilityComputer scienceMathematics

Abstract

fetched live from OpenAlex

In order to support the Government Regulation Number 42 of 2008 on the sustainable management of water resources, it is one of the responsibilities of government and the local government to carry out the management of water resources information system. Kabupaten Pandeglang is one area in Indonesia with the availability of water resources is quite large, so as to support the management of water resources need to built Database Information System for Water Resources Management (SISDA). SISDA is an application program based database created to facilitate the data management of water resources. This program has been applied in the Office Bappeda Pandeglang and information shown include the River Basin Unit (SWS), the Regional Jetting River (DPS), Creeks, Lakes, Swamps, Beaches, Ponds, Dams, Irrigation, Water Monitoring Station, Rain Station, and other information. Keywords : Water resource of Kabupaten Pandeglang, database, Information System for Water Resources Management.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.028
GPT teacher head0.267
Teacher spread0.239 · 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 teacher head, not a consensus.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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