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Record W4232332902 · doi:10.31227/osf.io/dqv8g

Pembangunan Sistem Informasi Manajemen RTH Taman dan Jalur Hijau Wilayah Jakarta Timur

2019· preprint· id· W4232332902 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

Venuenot available
Typepreprint
Languageid
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Pembangunan Sistem Informasi Manajemen RTH Taman dan Jalur Hijau Wilayah Jakarta Timur adalah suatu langkah penting dalam pengembangan dan pengelolaan Ruang Terbuka Hijau (RTH) di Jakarta Timur. Tanpa suatu landasan pendataan yang aktual, bisa dipastikan pengembangan dalam berbagai perencanaan ruang terbuka hijau akan mengalami hambatan di kemudian hari. Sehubungan dengan itu maka salah satu upaya untuk mengantisipasinya adalah dengan dibuatnya suatu Pembangunan Sistem Informasi Manajemen RTH Taman dan Jalur Hijau Wilayah Jakarta Timur pada tahun 2006 ini sebagai lanjutan program kerja yang sama pada tahun 2005 yang lalu, sebagai bentuk penyempurnaan, up-dating serta penambahan input data yang ada di lapangan. Laporan ini merupakan tahap Akhir yang berupa Laporan Final dari rincian kegiatan Pembangunan Sistem Informasi Manajemen RTH Taman dan Jalur Hijau Wilayah Jakarta Timur.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0030.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.086

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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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