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Record W3114906334 · doi:10.31590/ejosat.799717

Uzaktan Algılama ile Belirlenen Sulak Alanlardaki Zamansal Değişime Kuraklığın Etkisinin İncelenmesi: Umurbey Deltası (Çanakkale) Örneği

2020· article· tr· W3114906334 on OpenAlex
Derya ÇAKAROZ, Emre Özelkan, Muhittin Karaman

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

VenueEuropean Journal of Science and Technology · 2020
Typearticle
Languagetr
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsEvapotranspirationWetlandWet seasonEnvironmental scienceWater balanceDry seasonPrecipitationWater resourcesHydrology (agriculture)GeographyClimatologyPhysical geographyMeteorologyEcologyCartographyGeology

Abstract

fetched live from OpenAlex

Sulak alanlar dnya ekosisteminin dengesini ve devamlln salayan yeryznn en nemli ve kymetli paralarndan biridir. Byk bir sistemin paralar olan bu alanlar, yer aldklar sahann iklimi, su kaynaklar ve jeomorfolojik zelikleri gibi evresel faktrlere kar ok duyarl olmakla birlikte, zellikle kuraklk sorunu ile kar karyadr. Son zamanlarda uzaktan alglama ile sulak alanlarn izlenmesi, bu alanlara etki eden faktrlerin ve nem derecelerinin belirlenmesi ve sorunlarn zmne ynelik koruma ve gelitirme almalar arlk kazanmtr. Bu almada 2013 ve 2019 yllar arasnda yal ve kurak dnem sonlarnda anakkale ili snrlar

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.218
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