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Scaling effects in the Penna ageing model

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A. Laszkiewicz, S. Cebrat, D. Stauffer

Populations and Evolution · Submitted 29 Nov 2004

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Thus, the evolutionary costs decrease with enlarging the genome.

how it is stated · asserted 1.00 read the record →

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arXiv IDq-bio/0411051 (version 1)
Pith IDLTXSZGCW, Pith's permanent record of this paper and its review
CitationA. Laszkiewicz, D. Stauffer, S. Cebrat. "Scaling effects in the Penna ageing model." arXiv:q-bio/0411051 (2004). https://pith.science/paper/LTXSZGCW
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,175 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.19 · human participants 0.02 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.10 · compares with prior results 0.07 · mentions code or data availability 0.01.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We have analysed the possibility of scaling the sexual Penna ageing model. Assuming that the number of genes expressed before the reproduction age grows linearly with the genome size and that the mutation rate per genome and generation is constant, we have found that the fraction of defective genes expressed before the minimum reproduction age drops with the genome size, while the number of defective genes eliminated by the genetic death grows with genome size. Thus, the evolutionary costs decrease with enlarging the genome. After rescaling the time scale according to the mutational clock, age distributions of populations do not depend on the genome size. Nevertheless, enlarging the genome increases the reproduction potential of populations.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We have analysed the possibility of scaling the sexual Penna ageing model. contribution 0.99 0.92 0.04 hedged possibility 0.79
s1 Assuming that the number of genes expressed before the reproduction age grows linearly with the genome size and that the mutation rate per genome and generation is constant, we have found that the fraction of defective genes expressed before the minimum reproduction age drops with the genome size, while the number of defective genes eliminated by the genetic death grows with genome size. result 0.97 0.95 0.25 asserted 1.00
s2 Thus, the evolutionary costs decrease with enlarging the genome. interpretation 0.89 0.84 0.36 asserted 1.00
s3 After rescaling the time scale according to the mutational clock, age distributions of populations do not depend on the genome size. result 0.99 0.85 0.22 asserted 1.00
s4 Nevertheless, enlarging the genome increases the reproduction potential of populations. result 0.98 0.82 0.23 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.93 · evidence from proof or derivation 0.64.

What was examined, and what was not

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  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We have analysed the possibility of scaling the sexual Penna ageing model. Assuming that the number of genes expressed before the reproduction age grows linearly with the genome size and that the mutation rate per genome and generation is constant, we have found that the fraction of defective genes expressed before the minimum reproduction age drops with the genome size, while the number of defective genes eliminated by the genetic death grows with genome size. Thus, the evolutionary costs decrease with enlarging the genome. After rescaling the time scale according to the mutational clock, age distributions of populations do not depend on the genome size. Nevertheless, enlarging the genome increases the reproduction potential of populations.

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