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From self-assembly of life to present-day bacteria: a possible role for nanocells

2001· review· en· W1977889011 on OpenAlexafffund
J. T. Trevors, Roland Psenner

Bibliographic record

VenueFEMS Microbiology Reviews · 2001
Typereview
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaAustrian Science Fund
KeywordsBiologyGenomeWhole genome sequencingBacteriaSequence (biology)MetagenomicsPhylumComputational biologyEvolutionary biologyGeneGenetics

Abstract

fetched live from OpenAlex

A proposed sequence of major events for the self-assembly of life on Earth is examined. This sequence starts with a construction kit of elements and simple compounds from which a primitive membrane and then a nanocell with a minimal genome is self-assembled. The genome and cell increase in size and complexity and become capable of cell division, similar to present-day bacteria. Another factor to understanding this self-assembly of life is identifying the energy source(s) the first self-assembling nanocells were capable of using. This will also be examined from an evolutionary perspective with hydrogen as the postulated universal energy source [Morita, R. (2000) Microb. Ecol. 38, 307-320].

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.033
GPT teacher head0.309
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations39
Published2001
Admission routes2
Has abstractyes

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