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Record W7034096335

Thin Section Preparation From Benthic Foraminifera: An Example From Hasanağa Stream (West of Malatya, Eastern Turkey)

2017· article· en· W7034096335 on OpenAlexaboutno aff

Bibliographic record

VenueDergiPark (Istanbul University) · 2017
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsThin sectionSection (typography)OutcropBenthic zoneThin filmThin layers
DOInot available

Abstract

fetched live from OpenAlex

Benthic foraminifera, which is the subject of this study, are single-celled protists with shells. Laboratory studies dealing with the preparation of thin section from field samples have an important role in paleontological studies. There is a close relation between the precise determination of genus/species on thin section and the conveniently prepared thin section. Inappropriately prepared thin sections may result faulty determination. In this study, the laboratory process dealing with the preparation of the thin section from samples which are hard rock or free specimens taken from measured section on outcrops of the Eocene Darende Formation, has been discussed. In this context, while oriented thin sections were prepared from hard rock, equatorial and axial sections were prepared from free specimens. In addition, while polished sections were prepared from both hard rock and free specimens, splitting method was applied only to free specimens. It is found that araldit is convenient material for cementing the slices prepared from hard rock samples to the glass slides, whereas Canada balsam is more suitable material than araldit for cementing the slices prepared from free specimens

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.290
Teacher spread0.236 · 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
Published2017
Admission routes1
Has abstractyes

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