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Record W7039763978

Model Dinamik Penyediaan Air Baku Melalui Pendekatan Water Sensitive City di DAS Ciliwung Hulu (Kasus Desa Bendungan, Kecamatan Ciawi, Kabupaten Bogor)

2018· article· en· W7039763978 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

VenueUniversitas Terbuka Repository (Universitas Terbuka) · 2018
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodArticular cartilage damageDiafiltrationHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Raw water supply in the rural area still relies on the natural resources (classical), i.e. groundwater, springs, and local water supply company (PDAM) with distribution service 10%, consequently, the village community experience vulnerability of water supply in dry season. Therefore, it is needed to provide a sustainable water supply through concern for new water paradigm with water sensitive city (WSC) approach. This research aims to design a dynamics model of development of raw water supply infrastructure with a concern for new water paradigm. The analysis uses dynamics system with Powersim version 2.5a. The simulation results reveal: (a) with business as usual scenario the raw water supply of Bendungan village is only sufficient for 10 years in the future, i.e. in 2025. The condition is very vulnerable, because the raw water supply is less than the water demand, (b) with concern for water scenario through infrastructure: retention basin, domestic wastewater treatment (DWT), and industry wastewater treatment (IWT), raw water supply increase 71% from 10 years to 48 years in 2063.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.003
Open science0.0030.002
Research integrity0.0010.001
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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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