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Record W2328455760 · doi:10.1021/cen-v088n002.p056

newscripts

2010· article· en· W2328455760 on OpenAlexaboutno aff
Kenneth J. Moore

Bibliographic record

VenueChemical & Engineering News · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

For people with late-summer birthdays, merrymaking on a frigid winter’s day during the holidays likely led to their conception. But for some insects, cold periods aren’t opportunities for snuggle time with a loved one but are times of selfish resource hoarding. Among Drosophila melanogaster FRUIT FLIES, for example, those exposed to repeated cold periods trade survival of the species for their own survival, according to a study by Brent J. Sinclair, a professor in the University of Western Ontario’s biology department, and Ph.D. student Katie E. Marshall ( Proc. R. Soc. B, DOI: 10.1098/rspb.2009.1807). “Each organism has finite resources,” Marshall says. When exposed to stress events, fruit flies have to decide whether to use those resources to be tough and survive or to reproduce and hope that their offspring survive. “It’s a trade-off between reproduction and repair,” she says. For the study, the researchers exposed groups of ...

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.147
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8530.795

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 head0.003
GPT teacher head0.168
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.

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
Published2010
Admission routes1
Has abstractyes

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