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Record W3111103600 · doi:10.26418/pf.v7i2.33971

RESPONS CURAH HUJAN TERHADAP FENOMENA EL NIÑO SOUTHERN OSCILLATION (ENSO) DI BONTANG

2019· article· id· W3111103600 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

VenuePRISMA FISIKA · 2019
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsEnvironmental scienceClimatologyGeology

Abstract

fetched live from OpenAlex

El Niño Southern Oscillation (ENSO) merupakan fenomena yang mempengaruhi kondisi laut di ekuatorial Samudra Pasifik. Fenomena ini berpengaruh terhadap respon curah hujan di beberapa wilayah, terutama wilayah Bontang. Bontang merupakan wilayah yang berbatasan dengan selat Makassar dan merupakan wilayah yang berdekatan dengan Samudra Pasifik diantara kota-kota lain yang berada di Pulau Kalimantan. Penelitian ini bertujuan untuk mengetahui respons curah hujan terhadap fenomena ENSO di Bontang. Metode yang digunakan adalah transformasi wavelet untuk melihat kekuatan curah hujan dan cross wavelet untuk melihat korelasi ENSO terhadap curah hujan . Data yang digunakan dalam penelitian ini adalah indeks nino 3.4 dan curah hujan bulanan tahun 1985-2017. Berdasarkan hasil penelitian, diketahui bahwa curah hujan ekstrim di wilayah Bontang merespon terjadinya fenomena ENSO selama delapan tahun kejadian. Sinyal dari ENSO umumnya terjadi lebih dahulu dibandingkan sinyal dari curah hujan.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0060.038

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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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