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Morphological Characteristics of Adaptation of the Lungs in the Ground Spinal

2019· article· en· W2929177286 on OpenAlexvenueno aff
K.A. Saparov, Zura Yessimsiitova, Bagila Abdullayeva, S. A. Mankibaeva, Bekzat Tynybekov, G.K. Atanbayeva

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)BiologyIdentification (biology)PhylogenesisEvolutionary biologyEcologyNeuroscienceGeneticsPhylogeneticsGene

Abstract

fetched live from OpenAlex

This article discusses the morphological changes in the structures of the lungs when adapting to some extreme factors and environmental conditions.One of the most pressing problems of biology is the elucidation of the mechanisms of adaptation of the human body and animals to changing environmental conditions [1-7]. This problem can be viewed in two aspects: firstly, in terms of the emergence of adaptive rearrangements in the body when exposed to environmental factors as a manifestation of the body's plasticity in ontogenesis, secondly, in terms of the emergence of adaptation, as genetically and phenotypically fixed adaptation of living organisms to the conditions environment, which arose in the course of evolution [8-13]. The key point here is the identification and comparison of subtle mechanisms of similar (to the same environmental factor) adaptation that arise in ontogenesis and formed in phylogenesis [14-21].

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.100

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.368
Teacher spread0.309 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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