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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 OpenAlexaff
Asep Mulyono, Anna Fadlilah Rusydi, Hilda Lestiana

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.007
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

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

Citations40
Published2019
Admission routes1
Has abstractyes

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