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Record W1849281023 · doi:10.29122/jai.v4i1.2393

POTENSI AIR TANAH DI DAERAH CIKARANG DAN SEKITARNYA, KABUPATEN BEKASI BERDASARKAN ANALISIS PENGUKURAN GEOLISTRIK

2018· article· en· W1849281023 on OpenAlexaff
Heru Sri Naryanto

Bibliographic record

VenueJurnal Air Indonesia · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAquiferGroundwaterStructural basinGeologyHydrology (agriculture)Environmental scienceGeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Groundwater is one of the most important for human activities. The effects of land use and population changes in Bekasi area cause the degradation of groundwater quantity and quality. The aquifers potential in Cikarang and its surrounding as a study area are studied using geoelectric method. Geoelectric analysis can be measured the geometry of subsurface aquifer (thickness, depth, distribution, and structural geology). The aquifers in the study area are included of Bekasi Groundwater Basin System. The aquifers contain confined aquifer and unconfined aquifer. The thickness of unconfined aquifers less than 30 m, as lenses and bottom depth less than 40 m below of land surface. The thickness of confined aquifers is variation with maximum 80 m and the bottom depth 20-160 m below of land surface. The degradation of groundwater in Cikarang and its surrounding needs better groundwater management for sustainable development. Katakunci : potensi airtanah, akuifer, geolistrik, Cikarang

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.015
GPT teacher head0.213
Teacher spread0.199 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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