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Bacterial self-organisation and computation

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Martyn Amos, David A. Hodgson, Alan Gibbons

Cell Behavior · Submitted 8 Dec 2005

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

The authors' main claim In this article we highlight chemotaxis (cellular movement) as a rich source of potential engineering applications and computational models, highlighting current research and possible future work.

how it is stated · asserted 0.55 read the record →

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arXiv IDq-bio/0512017 (version 1)
Pith IDTBGRHT4Q, Pith's permanent record of this paper and its review
CitationAlan Gibbons, David A. Hodgson, Martyn Amos. "Bacterial self-organisation and computation." arXiv:q-bio/0512017 (2005). https://pith.science/paper/TBGRHT4Q
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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, 3,600 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.15 · human participants 0.03 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.09 · mentions code or data availability 0.03.

The abstract, sentence by sentence

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

In this article we highlight chemotaxis (cellular movement) as a rich source of potential engineering applications and computational models, highlighting current research and possible future work. We first give a brief description of the biological mechanism, before describing recent work on modelling it in silico. We then propose a methodology for extending existing models and their possible application as a fundamental tool in engineering cellular pattern formation. We discuss possible engineering applications of human-defined cell patterns, as well as the potential for using abstract models of chemotaxis for generalised computation, before concluding with a brief discussion of future challenges and opportunities in this field.

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 In this article we highlight chemotaxis (cellular movement) as a rich source of potential engineering applications and computational models, highlighting current research and possible future work. contribution 0.66 0.10 0.21 asserted 0.55
s1 We first give a brief description of the biological mechanism, before describing recent work on modelling it in silico. background 0.55 0.22 0.03 asserted 0.63
s2 We then propose a methodology for extending existing models and their possible application as a fundamental tool in engineering cellular pattern formation. contribution 0.81 0.58 0.18 hedged possibility 0.62
s3 We discuss possible engineering applications of human-defined cell patterns, as well as the potential for using abstract models of chemotaxis for generalised computation, before concluding with a brief discussion of future challenges and opportunities in this field. future work 0.77 0.14 0.24 hedged possibility 0.94

What kind of paper the classifier reports this is: review 0.58 · evidence from literature 0.71.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • 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

In this article we highlight chemotaxis (cellular movement) as a rich source of potential engineering applications and computational models, highlighting current research and possible future work. We first give a brief description of the biological mechanism, before describing recent work on modelling it in silico. We then propose a methodology for extending existing models and their possible application as a fundamental tool in engineering cellular pattern formation. We discuss possible engineering applications of human-defined cell patterns, as well as the potential for using abstract models of chemotaxis for generalised computation, before concluding with a brief discussion of future challenges and opportunities in this field.

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