MétaCan
Menu
Back to cohort
Record W2736382041 · doi:10.23917/warta.v18i1.1162

PEMANFAATAN AIR SUNGAI BAWAH TANAH GUA SURUH UNTUK MASYARAKAT DESA PUCUNG, EROMOKO, WONOGIRI

2015· article· en· W2736382041 on OpenAlexaff
Agus Anggoro Sigit, ‪Kuswaji Dwi Priyono, Yuli Priyana

Bibliographic record

VenueWarta LPM · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsDry seasonPopulationWater resource managementEconomic shortageEnvironmental scienceGroundwaterHydrology (agriculture)Government (linguistics)Water scarcityCaveGeographyAgricultural economicsBusinessEngineeringEconomicsArchaeologyCartographyAgricultureSociology

Abstract

fetched live from OpenAlex

The village has a population Eromoko Pucung in District 444 families (2,354 people) which includes 7 hamlet, in the dry season is always a shortage of clean water for daily use. At the peak of the dry season are forced to buy water being sold privately at a price of Rp200,000 / car tank (volume 4 m³) for the use of approximately 20 days. In order to overcome the problems of water needs, the Pucung Village Government took the initiative to manage groundwater resources that exist in the Suruh Cave. Removal activities river water underground community empowerment aimed at utilization of underground water in the Cave Have to solving the problem ofwater supply daily needs of society in Pucung Village, District Eromoko, Wonogiri. The success of water removal program is expected to reduce the price of 1 m³ water needs of the original with a maximum price of Rp 50,000 to Rp 5,000 only.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.002

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 head0.022
GPT teacher head0.216
Teacher spread0.194 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueWarta LPMSame topicCoastal Management and DevelopmentFrench-language works237,207