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Record W3165330103 · doi:10.4236/ojbiphy.2021.113008

On the Importance of ATP Energy in Biology with Regard to Viruses

2021· article· en· W3165330103 on OpenAlexaff
Fritz Lewertoff

Bibliographic record

VenueOpen Journal of Biophysics · 2021
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsCégep de Jonquière
Fundersnot available
KeywordsATP hydrolysisOrder (exchange)BiologyEnergy metabolismPandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Argument (complex analysis)Adenosine triphosphateBiochemistryInfectious disease (medical specialty)BusinessDiseaseEnzyme

Abstract

fetched live from OpenAlex

Even today in light of the pandemic spread of the corona virus COVID 19, the debate amongst biologists which concerns whether viruses are alive or not still remains unresolved. This, however, revolves around the argument that viruses cannot produce their own adenosine triphosphate molecule (ATP) through metabolism and, therefore, must rely on other living microorganisms that can produce it in order to access the energy that ATP provides upon hydrolysis. It is mainly on account of this distinction that viruses are relegated to an ill-defined area that separates living things from nonliving things. Nevertheless, apparently viruses possess an inherent capacity that enables them to cross this invisible dividing line in order to link up with the ATP molecule through which they sustain their activities. The following presents a review of these issues with regard to microbiology, biochemistry and physics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.320
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

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