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Record W1591507324 · doi:10.1007/978-0-387-33419-6_14

Rebooting the Genome

2006· book-chapter· en· W1591507324 on OpenAlexaff
Donald R. Forsdyke

Bibliographic record

VenueEvolutionary Bioinformatics · 2006
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsQueen's University
Fundersnot available
KeywordssortTheoretical physicsComputer sciencePhysicsMathematicsArithmetic

Abstract

fetched live from OpenAlex

With the notable exceptions of Butler and Miescher, in the nineteenth century the information concept as applied to biological molecules did not extend to information error and the need for its detection and correction (see Chapter 2). Miescher in 1892 thought that: “Sexuality is an arrangement for the correction of these unavoidable stereometric architectural defects in the structure of organized substances” (see Chapter 3). While referring to “left handed coils” being “corrected by right-handed coils,” at that timc he was unable to relate this to “nuclein,” a new substance he had discovered, later known as DNA. However, he appreciated that correction would require some sort of yardstick (i.e. “right hand coils”) to permit the fact of error in a molecule of interest (i.e. “eft hand coils”) to be detected, and then appropriately corrected.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0040.010
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0210.009

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 head0.180
Teacher spread0.165 · 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
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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