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Record W7132965416

Virulentnost virusa humane imunodeficijencije

2021· dissertation· hr· W7132965416 on OpenAlexaboutno aff
Dorja Baričević

Bibliographic record

VenueRepository of the Faculty of Science, University of Zagreb · 2021
Typedissertation
Languagehr
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Urban environmentQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Virusi humane imunodeficijencije, HIV-1 koji je prvi puta izoliran 1983. godine te HIV-2 koji je prvi puta izoliran 1986. godine, članovi su obitelji retrovirusa i predstavljaju dvije različite epidemije. Sindrom stečene imunodeficijencije (AIDS) predstavlja zadnju fazu zaraze virusom humane imunodeficijencije (HIV) u kojoj je imunološki sustav teško oštećen. Transmisija HIV-a ovisi o brojnim faktorima ponašanja i biološkim faktorima te je zato vrlo kompleksna pojava dok se replikacija virusa humane imunodeficijencije može sumirati u 6 koraka: vezanje i ulaz virusa, otvaranje ovojnice virusne stanice, reverzna transkripcija, provirusna integracija, sinteza i sastavljanje virusnih proteina te pupanje. Virusno opterećenje predstavlja gustoću virusa u nečijoj krvi te, posljedično, i u ostatku njihovog organizma. Ono obično fluktuira oko određene vrijednosti (engl. set-point viral load, SFVL) koja korelira s virulentnosti i zaraznosti. HIV-1 dijeli se na "major" (M), "new" (N) i "outlier" (O) grupe, koji mogu predstavljati tri odvojena zoonotska transfera od čimpanzi, i koje imaju različitu geografsku rasprostranjenost. Liječenje HIV-a/AIDS-a pomoću lijekova naziva se antiretrovirusna terapija (ART). Lijekovi ne mogu izliječiti infekciju HIV-om, ali ju mogu držati pod kontrolom i smanjiti rizik zaraze drugih smanjenjem virusnog opterećenja u organizmu.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.008
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

Explore more

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