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Record W2947682348 · doi:10.14710/jil.17.1.1-6

PERMEABILITAS TANAH BERBAGAI TIPE PENGGUNAAN LAHAN DI TANAH ALUVIAL PESISIR DAS CIMANUK, INDRAMAYU

2019· article· id· W2947682348 on OpenAlex
Asep Mulyono, Anna Fadlilah Rusydi, Hilda Lestiana

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 Ilmu Lingkungan · 2019
Typearticle
Languageid
FieldEnvironmental Science
TopicWater and Land Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryGeography

Abstract

fetched live from OpenAlex

Pesisir Indramayu termasuk wilayah DAS Cimanuk dengan jenis tanah Aluvial/Entisols. Pengetahuan berapa besar kemampuan tanah Aluvial dalam pergerakan air (permeabilitas) merupakan aspek penting dalam hubungannya dengan lingkungan. Studi variasi tingkat permeabilitas tanah akibat berbagai tipe penggunaan lahan pada tanah Aluvial telah dilakukan. Survei lapangan dilakukan dengan pengambilan contoh tanah. Contoh tanah untuk penetapan sifat permeabilitas tanah berdasarkan metode constan head. Analisis kimia tanah dilakukan untuk kandungan fraksi organik tanah, tekstur tanah. Hasil analisis menunjukkan lahan hutan memberikan hasil yang lebih cepat dibanding tipe penggunaan lahan lain. Kebun monokultur menghasilkan rata-rata permeabilitas yang lebih tinggi dibanding lahan kebun campuran.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.010

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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