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Record W1492280065 · doi:10.29122/jai.v5i2.2439

PERUBAHAN WATAK HIDROLOGI SUNGAI-SUNGAI BAGIAN HULU DI JAWA

2018· article· en· W1492280065 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

VenueJurnal Air Indonesia · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater and Land Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHuman settlementClimate changeEnvironmental scienceDrainage basinHydrology (agriculture)JavaGeographyLand useLand use, land-use change and forestryPopulationPhysical geographyEcologyGeologyAgricultureCartographyArchaeology

Abstract

fetched live from OpenAlex

The hydrological character of the rivers in Java has changed. The trend flow of upstream rivers in Java declined. Significance level of the trend decline in the upstream was large enough. This indicates that the basic flow (base flow) from these rivers has been reduced. The cause of the trend decline in river flow is strongly influenced by a combination of the effects of global climate change and the influence of anthropogenic. The influence of climate change is marked by decreasing annual rainfall. While anthropogenic influences include changes in land use, reduced water catchment area, increasing population pressures and settlements. To identify which factors are most influential between the two factors are very difficult to do because of limited data on land use change. Keywords: discharge, trend, climate change, landuse, anthropogenic

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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