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The Structural and Geomorphic Forms of Ranya Vicinity as Deduced from Satellite Images Data, Northeast Iraqi, Northeast Iraq

2022· article· en· W4313437895 on OpenAlexaff
Varoujan K. Sissakian, Ala A. Ghafur, Hassan O. Omer, Hawkar A. Abdulhaq

Bibliographic record

VenueIraqi Geological Journal · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAnticlineGeologyFaciesBoundary (topology)PaleontologyLandformAlluviumSynclineGeomorphologyTectonics

Abstract

fetched live from OpenAlex

The structural forms (folds and faults) in the Iraqi Kurdistan Region exhibit more complexity in the northern and northeastern parts of the region; accordingly, complicated geomorphic forms were developed too. This is attributed to the collision of the Arabian and Eurasian plates with a convergent boundary that runs about 35 – 40 km northeast of the studied area. Many long and tight anticlines exist in the studied area, the majority of them exhibit very complex forms, such as being faulted and their axes being bent. The main characteristic structural and Geomorphic recognized forms based on the interpretation of high-quality satellite images are: Domes, en-echelon plunges, overturned beds, faulted anticlinal and synclinal axes, abandoned and recent alluvial fans, water and wind gaps, wine glasses, different valley shapes. The recognized structural forms are quite different from those previously presented on the geological maps of different scales, and the forms are good indications for the lateral growth of the anticlines. A field check was carried out to check some ambiguous interpreted data and to confirm the new findings.

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 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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.221
Teacher spread0.198 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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